{"id":"https://openalex.org/W4411408324","doi":"https://doi.org/10.1109/tcyb.2025.3571953","title":"Differential Privacy Enabled Robust Asynchronous Federated Multitask Learning: A Multigradient Descent Approach","display_name":"Differential Privacy Enabled Robust Asynchronous Federated Multitask Learning: A Multigradient Descent Approach","publication_year":2025,"publication_date":"2025-06-18","ids":{"openalex":"https://openalex.org/W4411408324","doi":"https://doi.org/10.1109/tcyb.2025.3571953","pmid":"https://pubmed.ncbi.nlm.nih.gov/40531632"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2025.3571953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2025.3571953","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045819850","display_name":"Renyou Xie","orcid":"https://orcid.org/0000-0003-1947-0435"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Renyou Xie","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1947-0435","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033381522","display_name":"Chaojie Li","orcid":"https://orcid.org/0000-0002-0557-1481"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chaojie Li","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0557-1481","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066878475","display_name":"Zhaohui Yang","orcid":"https://orcid.org/0000-0002-4475-589X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Yang","raw_affiliation_strings":["Institute of Information Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4475-589X","affiliations":[{"raw_affiliation_string":"Institute of Information Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068791753","display_name":"Zhao Xu","orcid":"https://orcid.org/0000-0003-4480-7394"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhao Xu","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-4480-7394","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066790771","display_name":"Jian Huang","orcid":"https://orcid.org/0000-0002-6267-8824"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Huang","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6267-8824","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100366084","display_name":"Zhao Yang Dong","orcid":"https://orcid.org/0000-0001-9659-0858"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"ZhaoYang Dong","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong","Department of Electrical Engineering, City University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-9659-0858","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.0387,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94990373,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"55","issue":"8","first_page":"3546","last_page":"3559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9229999780654907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8385149240493774},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.8198034763336182},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.7302915453910828},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.7109192609786987},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5891352295875549},{"id":"https://openalex.org/keywords/asynchronous-learning","display_name":"Asynchronous learning","score":0.5746376514434814},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4642425775527954},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.45764750242233276},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4419710040092468},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.43444958329200745},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4218844175338745},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32170093059539795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30566516518592834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26955389976501465},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2614254057407379},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.171850323677063},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0974283516407013},{"id":"https://openalex.org/keywords/cooperative-learning","display_name":"Cooperative learning","score":0.08058503270149231}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8385149240493774},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.8198034763336182},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.7302915453910828},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7109192609786987},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5891352295875549},{"id":"https://openalex.org/C2777072894","wikidata":"https://www.wikidata.org/wiki/Q4812204","display_name":"Asynchronous learning","level":5,"score":0.5746376514434814},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4642425775527954},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.45764750242233276},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4419710040092468},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.43444958329200745},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4218844175338745},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32170093059539795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30566516518592834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26955389976501465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2614254057407379},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.171850323677063},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0974283516407013},{"id":"https://openalex.org/C51672120","wikidata":"https://www.wikidata.org/wiki/Q303446","display_name":"Cooperative learning","level":3,"score":0.08058503270149231},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.0},{"id":"https://openalex.org/C19122763","wikidata":"https://www.wikidata.org/wiki/Q7662215","display_name":"Synchronous learning","level":4,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2025.3571953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2025.3571953","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:40531632","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40531632","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4099999964237213,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5289395183","display_name":"Graph Neural Networks for Efficient Decision-making towards Future Grids","funder_award_id":"DE210100274","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G5869961036","display_name":null,"funder_award_id":"U24A20280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6062425967","display_name":null,"funder_award_id":"IH 180100020","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G8074446732","display_name":"Accelerated Finite-time Learning and Control in Cyber-Physical Systems","funder_award_id":"DP230101107","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G8178624887","display_name":null,"funder_award_id":"62333007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2027595342","https://openalex.org/W2060727197","https://openalex.org/W2100717205","https://openalex.org/W2106490775","https://openalex.org/W2109426455","https://openalex.org/W2805307000","https://openalex.org/W2963163009","https://openalex.org/W2964162474","https://openalex.org/W3016632787","https://openalex.org/W3021654819","https://openalex.org/W3040353046","https://openalex.org/W3080934299","https://openalex.org/W3085175993","https://openalex.org/W3090615085","https://openalex.org/W3096166287","https://openalex.org/W3136022984","https://openalex.org/W3136031552","https://openalex.org/W3146591378","https://openalex.org/W3171189420","https://openalex.org/W3180811329","https://openalex.org/W3192324887","https://openalex.org/W3192796768","https://openalex.org/W3209752568","https://openalex.org/W3216783607","https://openalex.org/W4225926344","https://openalex.org/W4319990055","https://openalex.org/W4323644292","https://openalex.org/W4361770824","https://openalex.org/W4386573760","https://openalex.org/W4387353472","https://openalex.org/W4388642327","https://openalex.org/W4391147922","https://openalex.org/W4391661624","https://openalex.org/W4400033390","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6746720608","https://openalex.org/W6760214840","https://openalex.org/W6768570320","https://openalex.org/W6779269186","https://openalex.org/W6786180312","https://openalex.org/W6796096428","https://openalex.org/W6796749613","https://openalex.org/W6797161312","https://openalex.org/W6797809222","https://openalex.org/W6800358597","https://openalex.org/W6801058151"],"related_works":["https://openalex.org/W4286971788","https://openalex.org/W3199340467","https://openalex.org/W3157608626","https://openalex.org/W3132132958","https://openalex.org/W4321612632","https://openalex.org/W4322580403","https://openalex.org/W4399147128","https://openalex.org/W3193217249","https://openalex.org/W4407086797","https://openalex.org/W3021849752"],"abstract_inverted_index":{"The":[0],"federated":[1,63,83,150],"learning":[2,17,65],"(FL)":[3],"technique":[4,127],"can":[5],"provide":[6],"a":[7,15,62,76,89,100,123],"promising":[8],"solution":[9],"for":[10,114,158],"the":[11,20,27,72,118,132,139,143,160,163,176,179],"timely":[12],"training":[13],"of":[14,23,56,117,135,146,178],"deep":[16],"model":[18,74,91,103],"with":[19,88,138],"critical":[21],"requirement":[22],"privacy":[24,126,133],"protection.":[25],"However,":[26],"existing":[28],"FL":[29,73],"frameworks":[30],"still":[31],"confront":[32],"challenging":[33],"issues":[34],"including":[35],"heterogeneous":[36],"data":[37,94],"sources,":[38],"edge":[39],"device":[40],"heterogeneity,":[41],"sensitive":[42],"information":[43],"leakage,":[44],"nonconvex":[45,164],"loss,":[46],"and":[47,96,120,162,169],"communication":[48],"resource":[49],"constraints":[50],"which":[51,80],"place":[52],"obstacles":[53],"in":[54,82],"terms":[55],"practicality.":[57],"In":[58],"this":[59],"article,":[60],"first,":[61],"multitask":[64],"(FedMTL)":[66],"approach":[67],"is":[68,106,128,156],"introduced":[69],"to":[70,108,130,174],"reformulate":[71],"as":[75],"multiobjective":[77],"optimization":[78],"problem":[79],"results":[81],"multigradient":[84],"descent":[85,153],"algorithm":[86,154],"(FedMGDA)":[87],"better":[90],"personalization":[92],"against":[93],"heterogeneity":[95],"Byzantine":[97],"attack.":[98],"Second,":[99],"new":[101],"semi-asynchronous":[102],"aggregation":[104],"method":[105],"developed":[107],"asynchronously":[109],"aggregate":[110],"small":[111],"partial":[112],"clients":[113],"compensating":[115],"impacts":[116],"straggler":[119],"staleness.":[121],"Third,":[122],"distributed":[124],"differential":[125],"applied":[129],"enhance":[131],"protection":[134],"asynchronous":[136,149],"FedMGDA":[137],"convergence":[140,144],"guarantee":[141],"where":[142],"analysis":[145],"differentially":[147],"private":[148],"multiple":[151],"gradient":[152],"(DP-AsynFedMGDA)":[155],"studied":[157],"both":[159],"convex":[161],"loss":[165],"functions.":[166],"Empirical":[167],"examples":[168],"comparative":[170],"studies":[171],"are":[172],"presented":[173],"illustrate":[175],"effectiveness":[177],"proposed":[180],"DP-AsynFedMGDA.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
