{"id":"https://openalex.org/W4416683986","doi":"https://doi.org/10.1007/978-981-95-4972-6_39","title":"Policy Gradient\u2013Based Reinforcement Weighted Aggregation for\u00a0Efficient Federated Learning on\u00a0Heterogeneous Data","display_name":"Policy Gradient\u2013Based Reinforcement Weighted Aggregation for\u00a0Efficient Federated Learning on\u00a0Heterogeneous Data","publication_year":2025,"publication_date":"2025-11-26","ids":{"openalex":"https://openalex.org/W4416683986","doi":"https://doi.org/10.1007/978-981-95-4972-6_39"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-95-4972-6_39","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-95-4972-6_39","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Policy_Gradient_Based_Reinforcement_Weighted_Aggregation_for_Efficient_Federated_Learning_on_Heterogeneous_Data/30795176","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101796433","display_name":"Mahmudul Hasan","orcid":"https://orcid.org/0000-0003-4302-8516"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mahmudul Hasan","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, 3220, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4302-8516","affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, 3220, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000628690","display_name":"Md Palash Uddin","orcid":"https://orcid.org/0000-0002-4429-6590"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Md Palash Uddin","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, 3220, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4429-6590","affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, 3220, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051297830","display_name":"Yong Xiang","orcid":"https://orcid.org/0000-0003-3545-7863"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yong Xiang","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, 3220, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3545-7863","affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, 3220, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048317892","display_name":"John Yearwood","orcid":"https://orcid.org/0000-0002-7562-6767"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"John Yearwood","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, 3220, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7562-6767","affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, 3220, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012293028","display_name":"Longxiang Gao","orcid":"https://orcid.org/0000-0002-3026-7537"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210158984","display_name":"National Supercomputing Center in Wuxi","ror":"https://ror.org/04ypjrs34","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210158984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longxiang Gao","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250202, Shandong, China","Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan, 250202, Shandong, China"],"raw_orcid":"https://orcid.org/0000-0002-3026-7537","affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250202, Shandong, China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853"]},{"raw_affiliation_string":"Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan, 250202, Shandong, China","institution_ids":["https://openalex.org/I4210158984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000628690"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51987462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"506","last_page":"518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.896399974822998,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.896399974822998,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.007400000002235174,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.006300000008195639,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8129000067710876},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6233000159263611},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5873000025749207},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5846999883651733},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.5266000032424927},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.520799994468689},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5159000158309937},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48649999499320984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9085000157356262},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8129000067710876},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6233000159263611},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5873000025749207},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5846999883651733},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.5266000032424927},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.520799994468689},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5159000158309937},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48649999499320984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4805999994277954},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4072999954223633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4059000015258789},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4032999873161316},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33570000529289246},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25769999623298645}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-981-95-4972-6_39","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-95-4972-6_39","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:figshare.com:article/30795176","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Policy_Gradient_Based_Reinforcement_Weighted_Aggregation_for_Efficient_Federated_Learning_on_Heterogeneous_Data/30795176","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/30795176","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Policy_Gradient_Based_Reinforcement_Weighted_Aggregation_for_Efficient_Federated_Learning_on_Heterogeneous_Data/30795176","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2995022099","https://openalex.org/W3182158470","https://openalex.org/W4210960727","https://openalex.org/W4298342756","https://openalex.org/W4313154517","https://openalex.org/W4320067912","https://openalex.org/W4401387463","https://openalex.org/W4402586327","https://openalex.org/W4403534338","https://openalex.org/W4406268949","https://openalex.org/W4408998396","https://openalex.org/W4409364216","https://openalex.org/W4413146715"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-11-27T00:00:00"}
