Harnessing Federated Generative Learning for Green and Sustainable Internet of Things Article Swipe
Yuanhang Qi
,
M. Shamim Hossain
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2407.05915
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2407.05915
The rapid proliferation of devices in the Internet of Things (IoT) has ushered in a transformative era of data-driven connectivity across various domains. However, this exponential growth has raised pressing concerns about environmental sustainability and data privacy. In response to these challenges, this paper introduces One-shot Federated Learning (OSFL), an innovative paradigm that harmonizes sustainability and machine learning within IoT ecosystems. OSFL revolutionizes the traditional Federated Learning (FL) workflow by condensing multiple iterative communication rounds into a single operation, thus significantly reducing energy consumption, communication overhead, and latency. This breakthrough is coupled with the strategic integration of generative learning techniques, ensuring robust data privacy while promoting efficient knowledge sharing among IoT devices. By curtailing resource utilization, OSFL aligns seamlessly with the vision of green and sustainable IoT, effectively extending device lifespans and mitigating their environmental footprint. Our research underscores the transformative potential of OSFL, poised to reshape the landscape of IoT applications across domains such as energy-efficient smart cities and groundbreaking healthcare solutions. This contribution marks a pivotal step towards a more responsible, sustainable, and technologically advanced future.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2407.05915
- https://arxiv.org/pdf/2407.05915
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400484086
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4400484086Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2407.05915Digital Object Identifier
- Title
-
Harnessing Federated Generative Learning for Green and Sustainable Internet of ThingsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-30Full publication date if available
- Authors
-
Yuanhang Qi, M. Shamim HossainList of authors in order
- Landing page
-
https://arxiv.org/abs/2407.05915Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2407.05915Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2407.05915Direct OA link when available
- Concepts
-
Generative grammar, Internet of Things, The Internet, Computer science, Generative model, Business, World Wide Web, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4400484086 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2407.05915 |
| ids.doi | https://doi.org/10.48550/arxiv.2407.05915 |
| ids.openalex | https://openalex.org/W4400484086 |
| fwci | |
| type | preprint |
| title | Harnessing Federated Generative Learning for Green and Sustainable Internet of Things |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10764 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.7562999725341797 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Privacy-Preserving Technologies in Data |
| topics[1].id | https://openalex.org/T11321 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.6805999875068665 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1705 |
| topics[1].subfield.display_name | Computer Networks and Communications |
| topics[1].display_name | Error Correcting Code Techniques |
| topics[2].id | https://openalex.org/T10964 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.6699000000953674 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2208 |
| topics[2].subfield.display_name | Electrical and Electronic Engineering |
| topics[2].display_name | Wireless Communication Security Techniques |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C39890363 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6952810883522034 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q36108 |
| concepts[0].display_name | Generative grammar |
| concepts[1].id | https://openalex.org/C81860439 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6404496431350708 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q251212 |
| concepts[1].display_name | Internet of Things |
| concepts[2].id | https://openalex.org/C110875604 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5116808414459229 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q75 |
| concepts[2].display_name | The Internet |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.5062064528465271 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C167966045 |
| concepts[4].level | 3 |
| concepts[4].score | 0.4808657765388489 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q5532625 |
| concepts[4].display_name | Generative model |
| concepts[5].id | https://openalex.org/C144133560 |
| concepts[5].level | 0 |
| concepts[5].score | 0.34337079524993896 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q4830453 |
| concepts[5].display_name | Business |
| concepts[6].id | https://openalex.org/C136764020 |
| concepts[6].level | 1 |
| concepts[6].score | 0.32554423809051514 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[6].display_name | World Wide Web |
| concepts[7].id | https://openalex.org/C154945302 |
| concepts[7].level | 1 |
| concepts[7].score | 0.2553997039794922 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[7].display_name | Artificial intelligence |
| keywords[0].id | https://openalex.org/keywords/generative-grammar |
| keywords[0].score | 0.6952810883522034 |
| keywords[0].display_name | Generative grammar |
| keywords[1].id | https://openalex.org/keywords/internet-of-things |
| keywords[1].score | 0.6404496431350708 |
| keywords[1].display_name | Internet of Things |
| keywords[2].id | https://openalex.org/keywords/the-internet |
| keywords[2].score | 0.5116808414459229 |
| keywords[2].display_name | The Internet |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.5062064528465271 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/generative-model |
| keywords[4].score | 0.4808657765388489 |
| keywords[4].display_name | Generative model |
| keywords[5].id | https://openalex.org/keywords/business |
| keywords[5].score | 0.34337079524993896 |
| keywords[5].display_name | Business |
| keywords[6].id | https://openalex.org/keywords/world-wide-web |
| keywords[6].score | 0.32554423809051514 |
| keywords[6].display_name | World Wide Web |
| keywords[7].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[7].score | 0.2553997039794922 |
| keywords[7].display_name | Artificial intelligence |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2407.05915 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | public-domain |
| locations[0].pdf_url | https://arxiv.org/pdf/2407.05915 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | https://openalex.org/licenses/public-domain |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2407.05915 |
| locations[1].id | doi:10.48550/arxiv.2407.05915 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | public-domain |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/public-domain |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.2407.05915 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5044909340 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-4336-8625 |
| authorships[0].author.display_name | Yuanhang Qi |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Qi, Yuanhang |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5037865550 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-5906-9422 |
| authorships[1].author.display_name | M. Shamim Hossain |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Hossain, M. Shamim |
| authorships[1].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2407.05915 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Harnessing Federated Generative Learning for Green and Sustainable Internet of Things |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10764 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.7562999725341797 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Privacy-Preserving Technologies in Data |
| related_works | https://openalex.org/W4365211920, https://openalex.org/W3014948380, https://openalex.org/W4380551139, https://openalex.org/W4317695495, https://openalex.org/W4287117424, https://openalex.org/W4387506531, https://openalex.org/W4238433571, https://openalex.org/W3174044702, https://openalex.org/W2967848559, https://openalex.org/W4299831724 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2407.05915 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | public-domain |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2407.05915 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | https://openalex.org/licenses/public-domain |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2407.05915 |
| primary_location.id | pmh:oai:arXiv.org:2407.05915 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | public-domain |
| primary_location.pdf_url | https://arxiv.org/pdf/2407.05915 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | https://openalex.org/licenses/public-domain |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2407.05915 |
| publication_date | 2024-04-30 |
| publication_year | 2024 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 14, 76, 166, 170 |
| abstract_inverted_index.By | 112 |
| abstract_inverted_index.In | 37 |
| abstract_inverted_index.an | 49 |
| abstract_inverted_index.as | 155 |
| abstract_inverted_index.by | 69 |
| abstract_inverted_index.in | 5, 13 |
| abstract_inverted_index.is | 90 |
| abstract_inverted_index.of | 3, 8, 17, 96, 122, 142, 149 |
| abstract_inverted_index.to | 39, 145 |
| abstract_inverted_index.IoT | 59, 110, 150 |
| abstract_inverted_index.Our | 136 |
| abstract_inverted_index.The | 0 |
| abstract_inverted_index.and | 34, 55, 86, 124, 131, 159, 174 |
| abstract_inverted_index.era | 16 |
| abstract_inverted_index.has | 11, 27 |
| abstract_inverted_index.the | 6, 63, 93, 120, 139, 147 |
| abstract_inverted_index.(FL) | 67 |
| abstract_inverted_index.IoT, | 126 |
| abstract_inverted_index.OSFL | 61, 116 |
| abstract_inverted_index.This | 88, 163 |
| abstract_inverted_index.data | 35, 102 |
| abstract_inverted_index.into | 75 |
| abstract_inverted_index.more | 171 |
| abstract_inverted_index.step | 168 |
| abstract_inverted_index.such | 154 |
| abstract_inverted_index.that | 52 |
| abstract_inverted_index.this | 24, 42 |
| abstract_inverted_index.thus | 79 |
| abstract_inverted_index.with | 92, 119 |
| abstract_inverted_index.(IoT) | 10 |
| abstract_inverted_index.OSFL, | 143 |
| abstract_inverted_index.about | 31 |
| abstract_inverted_index.among | 109 |
| abstract_inverted_index.green | 123 |
| abstract_inverted_index.marks | 165 |
| abstract_inverted_index.paper | 43 |
| abstract_inverted_index.rapid | 1 |
| abstract_inverted_index.smart | 157 |
| abstract_inverted_index.their | 133 |
| abstract_inverted_index.these | 40 |
| abstract_inverted_index.while | 104 |
| abstract_inverted_index.Things | 9 |
| abstract_inverted_index.across | 20, 152 |
| abstract_inverted_index.aligns | 117 |
| abstract_inverted_index.cities | 158 |
| abstract_inverted_index.device | 129 |
| abstract_inverted_index.energy | 82 |
| abstract_inverted_index.growth | 26 |
| abstract_inverted_index.poised | 144 |
| abstract_inverted_index.raised | 28 |
| abstract_inverted_index.robust | 101 |
| abstract_inverted_index.rounds | 74 |
| abstract_inverted_index.single | 77 |
| abstract_inverted_index.vision | 121 |
| abstract_inverted_index.within | 58 |
| abstract_inverted_index.(OSFL), | 48 |
| abstract_inverted_index.coupled | 91 |
| abstract_inverted_index.devices | 4 |
| abstract_inverted_index.domains | 153 |
| abstract_inverted_index.future. | 177 |
| abstract_inverted_index.machine | 56 |
| abstract_inverted_index.pivotal | 167 |
| abstract_inverted_index.privacy | 103 |
| abstract_inverted_index.reshape | 146 |
| abstract_inverted_index.sharing | 108 |
| abstract_inverted_index.towards | 169 |
| abstract_inverted_index.ushered | 12 |
| abstract_inverted_index.various | 21 |
| abstract_inverted_index.However, | 23 |
| abstract_inverted_index.Internet | 7 |
| abstract_inverted_index.Learning | 47, 66 |
| abstract_inverted_index.One-shot | 45 |
| abstract_inverted_index.advanced | 176 |
| abstract_inverted_index.concerns | 30 |
| abstract_inverted_index.devices. | 111 |
| abstract_inverted_index.domains. | 22 |
| abstract_inverted_index.ensuring | 100 |
| abstract_inverted_index.latency. | 87 |
| abstract_inverted_index.learning | 57, 98 |
| abstract_inverted_index.multiple | 71 |
| abstract_inverted_index.paradigm | 51 |
| abstract_inverted_index.pressing | 29 |
| abstract_inverted_index.privacy. | 36 |
| abstract_inverted_index.reducing | 81 |
| abstract_inverted_index.research | 137 |
| abstract_inverted_index.resource | 114 |
| abstract_inverted_index.response | 38 |
| abstract_inverted_index.workflow | 68 |
| abstract_inverted_index.Federated | 46, 65 |
| abstract_inverted_index.efficient | 106 |
| abstract_inverted_index.extending | 128 |
| abstract_inverted_index.iterative | 72 |
| abstract_inverted_index.knowledge | 107 |
| abstract_inverted_index.landscape | 148 |
| abstract_inverted_index.lifespans | 130 |
| abstract_inverted_index.overhead, | 85 |
| abstract_inverted_index.potential | 141 |
| abstract_inverted_index.promoting | 105 |
| abstract_inverted_index.strategic | 94 |
| abstract_inverted_index.condensing | 70 |
| abstract_inverted_index.curtailing | 113 |
| abstract_inverted_index.footprint. | 135 |
| abstract_inverted_index.generative | 97 |
| abstract_inverted_index.harmonizes | 53 |
| abstract_inverted_index.healthcare | 161 |
| abstract_inverted_index.innovative | 50 |
| abstract_inverted_index.introduces | 44 |
| abstract_inverted_index.mitigating | 132 |
| abstract_inverted_index.operation, | 78 |
| abstract_inverted_index.seamlessly | 118 |
| abstract_inverted_index.solutions. | 162 |
| abstract_inverted_index.challenges, | 41 |
| abstract_inverted_index.data-driven | 18 |
| abstract_inverted_index.ecosystems. | 60 |
| abstract_inverted_index.effectively | 127 |
| abstract_inverted_index.exponential | 25 |
| abstract_inverted_index.integration | 95 |
| abstract_inverted_index.sustainable | 125 |
| abstract_inverted_index.techniques, | 99 |
| abstract_inverted_index.traditional | 64 |
| abstract_inverted_index.underscores | 138 |
| abstract_inverted_index.applications | 151 |
| abstract_inverted_index.breakthrough | 89 |
| abstract_inverted_index.connectivity | 19 |
| abstract_inverted_index.consumption, | 83 |
| abstract_inverted_index.contribution | 164 |
| abstract_inverted_index.responsible, | 172 |
| abstract_inverted_index.sustainable, | 173 |
| abstract_inverted_index.utilization, | 115 |
| abstract_inverted_index.communication | 73, 84 |
| abstract_inverted_index.environmental | 32, 134 |
| abstract_inverted_index.proliferation | 2 |
| abstract_inverted_index.significantly | 80 |
| abstract_inverted_index.groundbreaking | 160 |
| abstract_inverted_index.revolutionizes | 62 |
| abstract_inverted_index.sustainability | 33, 54 |
| abstract_inverted_index.transformative | 15, 140 |
| abstract_inverted_index.technologically | 175 |
| abstract_inverted_index.energy-efficient | 156 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile |