Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies Article Swipe
The emergence of 5G and edge computing hardware has brought about a significant shift in artificial intelligence, with edge AI becoming a crucial technology for enabling intelligent applications. With the growing amount of data generated and stored on edge devices, deploying AI models for local processing and inference has become increasingly necessary. However, deploying state-of-the-art AI models on resource-constrained edge devices faces significant challenges that must be addressed. This paper presents an optimization triad for efficient and reliable edge AI deployment, including data, model, and system optimization. First, we discuss optimizing data through data cleaning, compression, and augmentation to make it more suitable for edge deployment. Second, we explore model design and compression methods at the model level, such as pruning, quantization, and knowledge distillation. Finally, we introduce system optimization techniques like framework support and hardware acceleration to accelerate edge AI workflows. Based on an in-depth analysis of various application scenarios and deployment challenges of edge AI, this paper proposes an optimization paradigm based on the data-model-system triad to enable a whole set of solutions to effectively transfer ML models, which are initially trained in the cloud, to various edge devices for supporting multiple scenarios.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.32388/izohch
- OA Status
- gold
- Cited By
- 19
- References
- 288
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406348153
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4406348153Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.32388/izohchDigital Object Identifier
- Title
-
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System StrategiesWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-14Full publication date if available
- Authors
-
Xinran Wang, Weijia JiaList of authors in order
- Landing page
-
https://doi.org/10.32388/izohchPublisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.32388/izohchDirect OA link when available
- Concepts
-
Computer science, Enhanced Data Rates for GSM Evolution, Survey data collection, Data science, Artificial intelligence, Data mining, Statistics, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
19Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 18, 2024: 1Per-year citation counts (last 5 years)
- References (count)
-
288Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4406348153 |
|---|---|
| doi | https://doi.org/10.32388/izohch |
| ids.doi | https://doi.org/10.32388/izohch |
| ids.openalex | https://openalex.org/W4406348153 |
| fwci | 92.97043323 |
| type | preprint |
| title | Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10273 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9991999864578247 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1705 |
| topics[0].subfield.display_name | Computer Networks and Communications |
| topics[0].display_name | IoT and Edge/Fog Computing |
| topics[1].id | https://openalex.org/T10036 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9933000206947327 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1707 |
| topics[1].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[1].display_name | Advanced Neural Network Applications |
| topics[2].id | https://openalex.org/T12761 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9815999865531921 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1702 |
| topics[2].subfield.display_name | Artificial Intelligence |
| topics[2].display_name | Data Stream Mining Techniques |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.537410318851471 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C162307627 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5001296997070312 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q204833 |
| concepts[1].display_name | Enhanced Data Rates for GSM Evolution |
| concepts[2].id | https://openalex.org/C198477413 |
| concepts[2].level | 2 |
| concepts[2].score | 0.49140989780426025 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q7647069 |
| concepts[2].display_name | Survey data collection |
| concepts[3].id | https://openalex.org/C2522767166 |
| concepts[3].level | 1 |
| concepts[3].score | 0.41906487941741943 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[3].display_name | Data science |
| concepts[4].id | https://openalex.org/C154945302 |
| concepts[4].level | 1 |
| concepts[4].score | 0.41703173518180847 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[4].display_name | Artificial intelligence |
| concepts[5].id | https://openalex.org/C124101348 |
| concepts[5].level | 1 |
| concepts[5].score | 0.3454383611679077 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[5].display_name | Data mining |
| concepts[6].id | https://openalex.org/C105795698 |
| concepts[6].level | 1 |
| concepts[6].score | 0.13904422521591187 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[6].display_name | Statistics |
| concepts[7].id | https://openalex.org/C33923547 |
| concepts[7].level | 0 |
| concepts[7].score | 0.12189891934394836 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[7].display_name | Mathematics |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.537410318851471 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution |
| keywords[1].score | 0.5001296997070312 |
| keywords[1].display_name | Enhanced Data Rates for GSM Evolution |
| keywords[2].id | https://openalex.org/keywords/survey-data-collection |
| keywords[2].score | 0.49140989780426025 |
| keywords[2].display_name | Survey data collection |
| keywords[3].id | https://openalex.org/keywords/data-science |
| keywords[3].score | 0.41906487941741943 |
| keywords[3].display_name | Data science |
| keywords[4].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[4].score | 0.41703173518180847 |
| keywords[4].display_name | Artificial intelligence |
| keywords[5].id | https://openalex.org/keywords/data-mining |
| keywords[5].score | 0.3454383611679077 |
| keywords[5].display_name | Data mining |
| keywords[6].id | https://openalex.org/keywords/statistics |
| keywords[6].score | 0.13904422521591187 |
| keywords[6].display_name | Statistics |
| keywords[7].id | https://openalex.org/keywords/mathematics |
| keywords[7].score | 0.12189891934394836 |
| keywords[7].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.32388/izohch |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.32388/izohch |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5082142463 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-8793-2174 |
| authorships[0].author.display_name | Xinran Wang |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Xubin Wang |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5101752580 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-1000-3937 |
| authorships[1].author.display_name | Weijia Jia |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Weijia Jia |
| authorships[1].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.32388/izohch |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-25T14:43:58.451035 |
| primary_topic.id | https://openalex.org/T10273 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9991999864578247 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1705 |
| primary_topic.subfield.display_name | Computer Networks and Communications |
| primary_topic.display_name | IoT and Edge/Fog Computing |
| related_works | https://openalex.org/W3188962172, https://openalex.org/W2052899165, https://openalex.org/W2008562718, https://openalex.org/W2772917594, https://openalex.org/W4312825515, https://openalex.org/W4306742369, https://openalex.org/W4303457083, https://openalex.org/W2131146434, https://openalex.org/W2951359407, https://openalex.org/W4376623224 |
| cited_by_count | 19 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 18 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.32388/izohch |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.32388/izohch |
| primary_location.id | doi:10.32388/izohch |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.32388/izohch |
| publication_date | 2025-01-14 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W6778883912, https://openalex.org/W2971544482, https://openalex.org/W2551680577, https://openalex.org/W2953901595, https://openalex.org/W2061860832, https://openalex.org/W2416799949, https://openalex.org/W2950865323, https://openalex.org/W3020855431, https://openalex.org/W2895599712, https://openalex.org/W2919115771, https://openalex.org/W3041971333, https://openalex.org/W2960833983, https://openalex.org/W3212941463, https://openalex.org/W3034590782, https://openalex.org/W4285217780, https://openalex.org/W2966086598, https://openalex.org/W2979359324, https://openalex.org/W2962814013, https://openalex.org/W3047488480, https://openalex.org/W2982650630, https://openalex.org/W3210635777, https://openalex.org/W4291972732, https://openalex.org/W2766839578, https://openalex.org/W3012561096, https://openalex.org/W2114296561, https://openalex.org/W2922361312, https://openalex.org/W2568772110, https://openalex.org/W2786027963, https://openalex.org/W4226446010, https://openalex.org/W4214509590, https://openalex.org/W6850533807, https://openalex.org/W4214938700, https://openalex.org/W4206785384, https://openalex.org/W2972270478, https://openalex.org/W3090383361, https://openalex.org/W3162847889, https://openalex.org/W3176937288, https://openalex.org/W2732039841, https://openalex.org/W3130803020, https://openalex.org/W2187483593, https://openalex.org/W2964240917, https://openalex.org/W3033211044, https://openalex.org/W2534270843, https://openalex.org/W3161661800, https://openalex.org/W3089814182, https://openalex.org/W3166973134, https://openalex.org/W4229008968, https://openalex.org/W3011112200, https://openalex.org/W3087888346, https://openalex.org/W4200229613, https://openalex.org/W3195300140, https://openalex.org/W2114588272, https://openalex.org/W2975749976, https://openalex.org/W3147147958, https://openalex.org/W3120615301, https://openalex.org/W2891135006, https://openalex.org/W3183680868, https://openalex.org/W2924877180, https://openalex.org/W3189170245, https://openalex.org/W2942140333, https://openalex.org/W2954996726, https://openalex.org/W3203209038, https://openalex.org/W3174828871, https://openalex.org/W3043558504, https://openalex.org/W2995099986, https://openalex.org/W2769926989, https://openalex.org/W4291620260, https://openalex.org/W4283791382, https://openalex.org/W4226076258, https://openalex.org/W3163978602, https://openalex.org/W3043367036, https://openalex.org/W2612445135, https://openalex.org/W2963163009, https://openalex.org/W2982083293, https://openalex.org/W3113272803, https://openalex.org/W2963918968, https://openalex.org/W2963125010, https://openalex.org/W2883780447, https://openalex.org/W3096533519, https://openalex.org/W2279098554, https://openalex.org/W2962697884, https://openalex.org/W3035414587, https://openalex.org/W2946948417, https://openalex.org/W6793164127, https://openalex.org/W3034971973, https://openalex.org/W2963993763, https://openalex.org/W3175773336, https://openalex.org/W2963418739, https://openalex.org/W2962772649, https://openalex.org/W2967733054, https://openalex.org/W3034609471, https://openalex.org/W3173807327, https://openalex.org/W2796502408, https://openalex.org/W2097117768, https://openalex.org/W2183341477, https://openalex.org/W2964350391, https://openalex.org/W2531409750, https://openalex.org/W3203105104, https://openalex.org/W6774054309, https://openalex.org/W3177052299, https://openalex.org/W3034552520, https://openalex.org/W3162418282, https://openalex.org/W3119205652, https://openalex.org/W3016719260, https://openalex.org/W3213494992, https://openalex.org/W3198513224, https://openalex.org/W3090955883, https://openalex.org/W3200382295, https://openalex.org/W3195959245, https://openalex.org/W3198372861, https://openalex.org/W3160292596, https://openalex.org/W3132181965, https://openalex.org/W3035443989, https://openalex.org/W4214764913, https://openalex.org/W2119144962, https://openalex.org/W3028148258, https://openalex.org/W3091610286, https://openalex.org/W3035544451, https://openalex.org/W3034340181, https://openalex.org/W3035297311, https://openalex.org/W3090190726, https://openalex.org/W4306178593, https://openalex.org/W3047345547, https://openalex.org/W3091611536, https://openalex.org/W3114218318, https://openalex.org/W4224903119, https://openalex.org/W3034513523, https://openalex.org/W6777505618, https://openalex.org/W2799197246, https://openalex.org/W2947565354, https://openalex.org/W3092127391, https://openalex.org/W3047554830, https://openalex.org/W3192333284, https://openalex.org/W3134215411, https://openalex.org/W3170026688, https://openalex.org/W3092564588, https://openalex.org/W2804193803, https://openalex.org/W3035373785, https://openalex.org/W2588860837, https://openalex.org/W4280585173, https://openalex.org/W3127424476, https://openalex.org/W3215290109, https://openalex.org/W3034710094, https://openalex.org/W2182629226, https://openalex.org/W3099584108, https://openalex.org/W3207622241, https://openalex.org/W4312312856, https://openalex.org/W3128299679, https://openalex.org/W4293243601, https://openalex.org/W3017183295, https://openalex.org/W3109080038, https://openalex.org/W3183197931, https://openalex.org/W2982479999, https://openalex.org/W3131573445, https://openalex.org/W3211973197, https://openalex.org/W6638523607, https://openalex.org/W2987861506, https://openalex.org/W6775706467, https://openalex.org/W2948163385, https://openalex.org/W3215158328, https://openalex.org/W4281571140, https://openalex.org/W4287101401, https://openalex.org/W4367047068, https://openalex.org/W4385567664, https://openalex.org/W4200634555, https://openalex.org/W4313022127, https://openalex.org/W4226373160, https://openalex.org/W4224926669, https://openalex.org/W4225358741, https://openalex.org/W4226281299, https://openalex.org/W3035646933, https://openalex.org/W3107401984, https://openalex.org/W3173255485, https://openalex.org/W3120697687, https://openalex.org/W2537962049, https://openalex.org/W2962711501, https://openalex.org/W2922395136, https://openalex.org/W3092424844, https://openalex.org/W4306179731, https://openalex.org/W3119547333, https://openalex.org/W3108690123, https://openalex.org/W2993091699, https://openalex.org/W2963314114, https://openalex.org/W4318541647, https://openalex.org/W2807214292, https://openalex.org/W2979332426, https://openalex.org/W3111321464, https://openalex.org/W3046169356, https://openalex.org/W4292829059, https://openalex.org/W3200633798, https://openalex.org/W4318328326, https://openalex.org/W3160422373, https://openalex.org/W3114397406, https://openalex.org/W3205192296, https://openalex.org/W3214431650, https://openalex.org/W4226064548, https://openalex.org/W4285264230, https://openalex.org/W2998325381, https://openalex.org/W3190854509, https://openalex.org/W3101856175, https://openalex.org/W2908906661, https://openalex.org/W4225426816, https://openalex.org/W3008408165, https://openalex.org/W2981848439, https://openalex.org/W4297950276, https://openalex.org/W3113827151, https://openalex.org/W4285264221, https://openalex.org/W3215120999, https://openalex.org/W3014810041, https://openalex.org/W2922521869, https://openalex.org/W2972422169, https://openalex.org/W3047269164, https://openalex.org/W2955270935, https://openalex.org/W2805454539, https://openalex.org/W4295934680, https://openalex.org/W2985020236, https://openalex.org/W3206949821, https://openalex.org/W3042076285, https://openalex.org/W3118387413, https://openalex.org/W3048860064, https://openalex.org/W2996739437, https://openalex.org/W2980189697, https://openalex.org/W3013810395, https://openalex.org/W3088599578, https://openalex.org/W3152517757, https://openalex.org/W4220827132, https://openalex.org/W3184369898, https://openalex.org/W4206742918, https://openalex.org/W3178531146, https://openalex.org/W3047401492, https://openalex.org/W2971381425, https://openalex.org/W2804891820, https://openalex.org/W3131368198, https://openalex.org/W4200261781, https://openalex.org/W4283069456, https://openalex.org/W2829720336, https://openalex.org/W2926519916, https://openalex.org/W4200277216, https://openalex.org/W2980856918, https://openalex.org/W3162668736, https://openalex.org/W3172857592, https://openalex.org/W3125547981, https://openalex.org/W3185636585, https://openalex.org/W2793523435, https://openalex.org/W3033229102, https://openalex.org/W3174170930, https://openalex.org/W4210269029, https://openalex.org/W2981821650, https://openalex.org/W3129925580, https://openalex.org/W4200047623, https://openalex.org/W2920270483, https://openalex.org/W4285309026, https://openalex.org/W2964326881, https://openalex.org/W3162670695, https://openalex.org/W4313194362, https://openalex.org/W2970608956, https://openalex.org/W2992059036, https://openalex.org/W3140220336, https://openalex.org/W4312834900, https://openalex.org/W4308479834, https://openalex.org/W3038034516, https://openalex.org/W3129232727, https://openalex.org/W3033686777, https://openalex.org/W3178661111, https://openalex.org/W4321636655, https://openalex.org/W3213449942, https://openalex.org/W3188785851, https://openalex.org/W3023295509, https://openalex.org/W4317795341, https://openalex.org/W4286655947, https://openalex.org/W4229029708, https://openalex.org/W4226135183, https://openalex.org/W4205961034, https://openalex.org/W3153033660, https://openalex.org/W4312915286, https://openalex.org/W2801779586, https://openalex.org/W2944311919, https://openalex.org/W3040288082, https://openalex.org/W2894413690, https://openalex.org/W3047306977, https://openalex.org/W4293195587, https://openalex.org/W4210921172, https://openalex.org/W2958608667, https://openalex.org/W3046209893, https://openalex.org/W4211041246, https://openalex.org/W3105886168, https://openalex.org/W3092118103, https://openalex.org/W3098486933 |
| referenced_works_count | 288 |
| abstract_inverted_index.a | 11, 21, 170 |
| abstract_inverted_index.5G | 3 |
| abstract_inverted_index.AI | 19, 41, 55, 79, 140 |
| abstract_inverted_index.ML | 178 |
| abstract_inverted_index.an | 71, 144, 160 |
| abstract_inverted_index.as | 119 |
| abstract_inverted_index.at | 114 |
| abstract_inverted_index.be | 66 |
| abstract_inverted_index.in | 14, 184 |
| abstract_inverted_index.it | 100 |
| abstract_inverted_index.of | 2, 32, 147, 154, 173 |
| abstract_inverted_index.on | 37, 57, 143, 164 |
| abstract_inverted_index.to | 98, 137, 168, 175, 187 |
| abstract_inverted_index.we | 88, 107, 126 |
| abstract_inverted_index.AI, | 156 |
| abstract_inverted_index.The | 0 |
| abstract_inverted_index.and | 4, 35, 46, 76, 84, 96, 111, 122, 134, 151 |
| abstract_inverted_index.are | 181 |
| abstract_inverted_index.for | 24, 43, 74, 103, 191 |
| abstract_inverted_index.has | 8, 48 |
| abstract_inverted_index.set | 172 |
| abstract_inverted_index.the | 29, 115, 165, 185 |
| abstract_inverted_index.This | 68 |
| abstract_inverted_index.With | 28 |
| abstract_inverted_index.data | 33, 91, 93 |
| abstract_inverted_index.edge | 5, 18, 38, 59, 78, 104, 139, 155, 189 |
| abstract_inverted_index.like | 131 |
| abstract_inverted_index.make | 99 |
| abstract_inverted_index.more | 101 |
| abstract_inverted_index.must | 65 |
| abstract_inverted_index.such | 118 |
| abstract_inverted_index.that | 64 |
| abstract_inverted_index.this | 157 |
| abstract_inverted_index.with | 17 |
| abstract_inverted_index.Based | 142 |
| abstract_inverted_index.about | 10 |
| abstract_inverted_index.based | 163 |
| abstract_inverted_index.data, | 82 |
| abstract_inverted_index.faces | 61 |
| abstract_inverted_index.local | 44 |
| abstract_inverted_index.model | 109, 116 |
| abstract_inverted_index.paper | 69, 158 |
| abstract_inverted_index.shift | 13 |
| abstract_inverted_index.triad | 73, 167 |
| abstract_inverted_index.which | 180 |
| abstract_inverted_index.whole | 171 |
| abstract_inverted_index.First, | 87 |
| abstract_inverted_index.amount | 31 |
| abstract_inverted_index.become | 49 |
| abstract_inverted_index.cloud, | 186 |
| abstract_inverted_index.design | 110 |
| abstract_inverted_index.enable | 169 |
| abstract_inverted_index.level, | 117 |
| abstract_inverted_index.model, | 83 |
| abstract_inverted_index.models | 42, 56 |
| abstract_inverted_index.stored | 36 |
| abstract_inverted_index.system | 85, 128 |
| abstract_inverted_index.Second, | 106 |
| abstract_inverted_index.brought | 9 |
| abstract_inverted_index.crucial | 22 |
| abstract_inverted_index.devices | 60, 190 |
| abstract_inverted_index.discuss | 89 |
| abstract_inverted_index.explore | 108 |
| abstract_inverted_index.growing | 30 |
| abstract_inverted_index.methods | 113 |
| abstract_inverted_index.models, | 179 |
| abstract_inverted_index.support | 133 |
| abstract_inverted_index.through | 92 |
| abstract_inverted_index.trained | 183 |
| abstract_inverted_index.various | 148, 188 |
| abstract_inverted_index.Finally, | 125 |
| abstract_inverted_index.However, | 52 |
| abstract_inverted_index.analysis | 146 |
| abstract_inverted_index.becoming | 20 |
| abstract_inverted_index.devices, | 39 |
| abstract_inverted_index.enabling | 25 |
| abstract_inverted_index.hardware | 7, 135 |
| abstract_inverted_index.in-depth | 145 |
| abstract_inverted_index.multiple | 193 |
| abstract_inverted_index.paradigm | 162 |
| abstract_inverted_index.presents | 70 |
| abstract_inverted_index.proposes | 159 |
| abstract_inverted_index.pruning, | 120 |
| abstract_inverted_index.reliable | 77 |
| abstract_inverted_index.suitable | 102 |
| abstract_inverted_index.transfer | 177 |
| abstract_inverted_index.cleaning, | 94 |
| abstract_inverted_index.computing | 6 |
| abstract_inverted_index.deploying | 40, 53 |
| abstract_inverted_index.efficient | 75 |
| abstract_inverted_index.emergence | 1 |
| abstract_inverted_index.framework | 132 |
| abstract_inverted_index.generated | 34 |
| abstract_inverted_index.including | 81 |
| abstract_inverted_index.inference | 47 |
| abstract_inverted_index.initially | 182 |
| abstract_inverted_index.introduce | 127 |
| abstract_inverted_index.knowledge | 123 |
| abstract_inverted_index.scenarios | 150 |
| abstract_inverted_index.solutions | 174 |
| abstract_inverted_index.accelerate | 138 |
| abstract_inverted_index.addressed. | 67 |
| abstract_inverted_index.artificial | 15 |
| abstract_inverted_index.challenges | 63, 153 |
| abstract_inverted_index.deployment | 152 |
| abstract_inverted_index.necessary. | 51 |
| abstract_inverted_index.optimizing | 90 |
| abstract_inverted_index.processing | 45 |
| abstract_inverted_index.scenarios. | 194 |
| abstract_inverted_index.supporting | 192 |
| abstract_inverted_index.techniques | 130 |
| abstract_inverted_index.technology | 23 |
| abstract_inverted_index.workflows. | 141 |
| abstract_inverted_index.application | 149 |
| abstract_inverted_index.compression | 112 |
| abstract_inverted_index.deployment, | 80 |
| abstract_inverted_index.deployment. | 105 |
| abstract_inverted_index.effectively | 176 |
| abstract_inverted_index.intelligent | 26 |
| abstract_inverted_index.significant | 12, 62 |
| abstract_inverted_index.acceleration | 136 |
| abstract_inverted_index.augmentation | 97 |
| abstract_inverted_index.compression, | 95 |
| abstract_inverted_index.increasingly | 50 |
| abstract_inverted_index.optimization | 72, 129, 161 |
| abstract_inverted_index.applications. | 27 |
| abstract_inverted_index.distillation. | 124 |
| abstract_inverted_index.intelligence, | 16 |
| abstract_inverted_index.optimization. | 86 |
| abstract_inverted_index.quantization, | 121 |
| abstract_inverted_index.state-of-the-art | 54 |
| abstract_inverted_index.data-model-system | 166 |
| abstract_inverted_index.resource-constrained | 58 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.4099999964237213 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.99858776 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |