FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings Article Swipe
Ali Shakeri
,
Wei Emma Zhang
,
Amin Beheshti
,
Weitong Chen
,
Jian Yang
,
Lishan Yang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/978-981-96-8186-0_4
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/978-981-96-8186-0_4
Related Topics
Concepts
Metadata
- Type
- book-chapter
- Language
- en
- Landing Page
- https://doi.org/10.1007/978-981-96-8186-0_4
- OA Status
- green
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411379524
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4411379524Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/978-981-96-8186-0_4Digital Object Identifier
- Title
-
FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning SettingsWork title
- Type
-
book-chapterOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-01Full publication date if available
- Authors
-
Ali Shakeri, Wei Emma Zhang, Amin Beheshti, Weitong Chen, Jian Yang, Lishan YangList of authors in order
- Landing page
-
https://doi.org/10.1007/978-981-96-8186-0_4Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2507.19534Direct OA link when available
- Concepts
-
Computer science, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4411379524 |
|---|---|
| doi | https://doi.org/10.1007/978-981-96-8186-0_4 |
| ids.doi | https://doi.org/10.1007/978-981-96-8186-0_4 |
| ids.openalex | https://openalex.org/W4411379524 |
| fwci | 0.0 |
| type | book-chapter |
| title | FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 51 |
| biblio.first_page | 40 |
| 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 | 0.9998999834060669 |
| 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/T10237 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9986000061035156 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Cryptography and Data Security |
| topics[2].id | https://openalex.org/T11612 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9940000176429749 |
| 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 | Stochastic Gradient Optimization Techniques |
| is_xpac | False |
| apc_list.value | 5000 |
| apc_list.currency | EUR |
| apc_list.value_usd | 5392 |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.8855113983154297 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C154945302 |
| concepts[1].level | 1 |
| concepts[1].score | 0.4356229603290558 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[1].display_name | Artificial intelligence |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.8855113983154297 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[1].score | 0.4356229603290558 |
| keywords[1].display_name | Artificial intelligence |
| language | en |
| locations[0].id | doi:10.1007/978-981-96-8186-0_4 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S106296714 |
| locations[0].source.issn | 0302-9743, 1611-3349 |
| locations[0].source.type | book series |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0302-9743 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Lecture notes in computer science |
| locations[0].source.host_organization | https://openalex.org/P4310319900 |
| locations[0].source.host_organization_name | Springer Science+Business Media |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319900, https://openalex.org/P4310319965 |
| locations[0].source.host_organization_lineage_names | Springer Science+Business Media, Springer Nature |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | book-chapter |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Lecture Notes in Computer Science |
| locations[0].landing_page_url | https://doi.org/10.1007/978-981-96-8186-0_4 |
| locations[1].id | pmh:oai:arXiv.org:2507.19534 |
| 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 | |
| locations[1].pdf_url | https://arxiv.org/pdf/2507.19534 |
| locations[1].version | submittedVersion |
| locations[1].raw_type | text |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | http://arxiv.org/abs/2507.19534 |
| indexed_in | arxiv, crossref |
| authorships[0].author.id | https://openalex.org/A5102813988 |
| authorships[0].author.orcid | https://orcid.org/0009-0002-5685-186X |
| authorships[0].author.display_name | Ali Shakeri |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ali Shakeri |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5070697660 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-0406-5974 |
| authorships[1].author.display_name | Wei Emma Zhang |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Wei Emma Zhang |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5056293251 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-5988-5494 |
| authorships[2].author.display_name | Amin Beheshti |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Amin Beheshti |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5065555672 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-1001-7925 |
| authorships[3].author.display_name | Weitong Chen |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Weitong Chen |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5009644404 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-4408-1952 |
| authorships[4].author.display_name | Jian Yang |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Jian Yang |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5101518966 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-0735-8617 |
| authorships[5].author.display_name | Lishan Yang |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Lishan Yang |
| authorships[5].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://arxiv.org/pdf/2507.19534 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| 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 | 0.9998999834060669 |
| 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/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2390279801, https://openalex.org/W4391913857, https://openalex.org/W2358668433, https://openalex.org/W4396701345, https://openalex.org/W2376932109, https://openalex.org/W2001405890, https://openalex.org/W4396696052 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2507.19534 |
| 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 | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2507.19534 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | |
| 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/2507.19534 |
| primary_location.id | doi:10.1007/978-981-96-8186-0_4 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S106296714 |
| primary_location.source.issn | 0302-9743, 1611-3349 |
| primary_location.source.type | book series |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0302-9743 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Lecture notes in computer science |
| primary_location.source.host_organization | https://openalex.org/P4310319900 |
| primary_location.source.host_organization_name | Springer Science+Business Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319900, https://openalex.org/P4310319965 |
| primary_location.source.host_organization_lineage_names | Springer Science+Business Media, Springer Nature |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | book-chapter |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Lecture Notes in Computer Science |
| primary_location.landing_page_url | https://doi.org/10.1007/978-981-96-8186-0_4 |
| publication_date | 2025-01-01 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W4389520700, https://openalex.org/W4221145545, https://openalex.org/W6834969990, https://openalex.org/W4382202657, https://openalex.org/W3173777717, https://openalex.org/W4205991051, https://openalex.org/W3034999214, https://openalex.org/W3174770825, https://openalex.org/W4285247752, https://openalex.org/W4229029907, https://openalex.org/W4403421353, https://openalex.org/W2251939518, https://openalex.org/W3133814152, https://openalex.org/W4401023469, https://openalex.org/W2979826702, https://openalex.org/W2912213068, https://openalex.org/W3180608480, https://openalex.org/W3115894062, https://openalex.org/W4372260089, https://openalex.org/W3015636663, https://openalex.org/W4386766438 |
| referenced_works_count | 21 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.30473625 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |