{"id":"https://openalex.org/W4416873189","doi":"https://doi.org/10.1109/tnse.2025.3638762","title":"Neighborhood and Global Perturbations Supported Sharpness-Aware Minimization in Federated Learning: From Local Tweaks to Global Awareness","display_name":"Neighborhood and Global Perturbations Supported Sharpness-Aware Minimization in Federated Learning: From Local Tweaks to Global Awareness","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W4416873189","doi":"https://doi.org/10.1109/tnse.2025.3638762"},"language":null,"primary_location":{"id":"doi:10.1109/tnse.2025.3638762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3638762","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5012486468","display_name":"Boyuan Li","orcid":"https://orcid.org/0000-0001-9306-9303"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyuan Li","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9306-9303","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036466780","display_name":"Zihao Peng","orcid":"https://orcid.org/0000-0003-3108-123X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Peng","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3108-123X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440722","display_name":"Yafei Li","orcid":"https://orcid.org/0000-0001-9651-6092"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafei Li","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9651-6092","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406507","display_name":"Zijian Li","orcid":"https://orcid.org/0000-0003-3901-6790"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Li","raw_affiliation_strings":["College of Artificial Intelligence, Dalian Maritime University, Dalian, China","Dalian Maritime University, College of Artificial Intelligence"],"raw_orcid":"https://orcid.org/0000-0003-3901-6790","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"Dalian Maritime University, College of Artificial Intelligence","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062618254","display_name":"Shengbo Chen","orcid":"https://orcid.org/0000-0002-9026-8128"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengbo Chen","raw_affiliation_strings":["School of Software, Nanchang University, Nanchang, China","Nanchang University, School of Software"],"raw_orcid":"https://orcid.org/0000-0002-9026-8128","affiliations":[{"raw_affiliation_string":"School of Software, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"Nanchang University, School of Software","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016749653","display_name":"Cong Shen","orcid":"https://orcid.org/0000-0002-3148-4453"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cong Shen","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA","University of Virginia"],"raw_orcid":"https://orcid.org/0000-0002-3148-4453","affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030858163","display_name":"Tony Q. S. Quek","orcid":"https://orcid.org/0000-0002-4037-3149"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tony Q.S. Quek","raw_affiliation_strings":["Singapore University of Technology and Design, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4037-3149","affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6085,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91540922,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"5000","last_page":"5017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.901199996471405,"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":0.901199996471405,"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":0.01979999989271164,"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":0.007300000172108412,"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/global-optimization","display_name":"Global optimization","score":0.7458999752998352},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5598999857902527},{"id":"https://openalex.org/keywords/orchestration","display_name":"Orchestration","score":0.5274999737739563},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.46720001101493835},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4278999865055084},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.4020000100135803},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.3935000002384186}],"concepts":[{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.7458999752998352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333999872207642},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5598999857902527},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.5274999737739563},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.46720001101493835},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4278999865055084},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41830000281333923},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.4020000100135803},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.3935000002384186},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.38749998807907104},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.3675999939441681},{"id":"https://openalex.org/C206103860","wikidata":"https://www.wikidata.org/wiki/Q5570906","display_name":"Global strategy","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.310699999332428},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.2671999931335449}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2025.3638762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3638762","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6152933565","display_name":null,"funder_award_id":"62372416","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7031921492","display_name":null,"funder_award_id":"242300421215","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"},{"id":"https://openalex.org/G7432145467","display_name":null,"funder_award_id":"2024JB11GX001","funder_id":"https://openalex.org/F4320336584","funder_display_name":"Dalian Science and Technology Innovation Fund"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null},{"id":"https://openalex.org/F4320336584","display_name":"Dalian Science and Technology Innovation Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1980287119","https://openalex.org/W2194775991","https://openalex.org/W2964189064","https://openalex.org/W3080934299","https://openalex.org/W3104631511","https://openalex.org/W3112044954","https://openalex.org/W3182158470","https://openalex.org/W3182828306","https://openalex.org/W3203503583","https://openalex.org/W3204468048","https://openalex.org/W4200631596","https://openalex.org/W4226101686","https://openalex.org/W4312517097","https://openalex.org/W4312769405","https://openalex.org/W4312869277","https://openalex.org/W4315488555","https://openalex.org/W4318828017","https://openalex.org/W4367046768","https://openalex.org/W4372260089","https://openalex.org/W4382463479","https://openalex.org/W4385453029","https://openalex.org/W4386767075","https://openalex.org/W4387303319","https://openalex.org/W4387934964","https://openalex.org/W4393147298","https://openalex.org/W4396524796","https://openalex.org/W4402702992","https://openalex.org/W4402753898","https://openalex.org/W4402754207","https://openalex.org/W4404371571","https://openalex.org/W4405546266","https://openalex.org/W4414198318"],"related_works":[],"abstract_inverted_index":{"<bold":[0,41,210],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[1,42,185,211],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Federated":[2],"Learning</b>":[3],"(FL)":[4],"can":[5],"be":[6],"coordinated":[7],"under":[8],"the":[9,63,75,78,84,128,189],"orchestration":[10],"of":[11,65],"a":[12,17,95,201],"central":[13],"server":[14],"to":[15,29,49,89,101,117,131,149,153,167],"build":[16],"privacy-preserving":[18],"model":[19],"without":[20,157],"collaborative":[21],"data":[22,26],"exchange.":[23],"However,":[24],"participant":[25],"heterogeneity":[27],"leads":[28],"local":[30,55,79,115,169],"optima":[31],"divergence,":[32],"affecting":[33],"convergence":[34,183],"outcomes.":[35],"Recent":[36],"research":[37],"focused":[38],"on":[39,188],"global":[40,53,66,85,118,122,132,136,144,155],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">sharpness-aware":[43],"minimization</b>":[44],"(SAM)":[45],"and":[46,54,57,71,104,139,159,174,205],"dynamic":[47,80,129],"regularization":[48],"enhance":[50,168],"consistency":[51],"between":[52],"generalization":[56,105,123],"optimization":[58,103,141],"objectives":[59,106],"in":[60],"FL.":[61],"Nonetheless,":[62],"estimation":[64],"SAM":[67],"introduces":[68],"additional":[69],"computational":[70,160],"memory":[72],"overhead.":[73,112],"At":[74],"same":[76],"time,":[77],"regularizer":[81,130],"cannot":[82],"capture":[83],"update":[86],"state":[87],"due":[88],"training":[90],"isolation.":[91],"This":[92],"paper":[93],"proposes":[94],"novel":[96],"FL":[97],"algorithm,":[98],"FedTOGA,":[99],"designed":[100],"consider":[102],"while":[107],"maintaining":[108],"minimal":[109],"uplink":[110],"communication":[111,158],"By":[113],"linking":[114,127],"perturbations":[116],"updates,":[119,133],"we":[120],"improve":[121],"consistency.":[124,142],"Additionally,":[125],"by":[126],"FedTOGA":[134,180,196],"improves":[135],"gradient":[137],"perception":[138],"strengthens":[140],"Crucially,":[143],"updates":[145],"are":[146],"directly":[147],"delivered":[148],"clients,":[150],"allowing":[151],"them":[152],"incorporate":[154],"knowledge":[156],"cost.":[161],"We":[162],"also":[163],"propose":[164],"neighborhood":[165],"perturbation":[166],"perturbation,":[170],"analyzing":[171],"its":[172],"strengths":[173],"working":[175],"principles.":[176],"Theoretical":[177],"analysis":[178],"shows":[179],"achieves":[181],"faster":[182,207],"<inline-formula":[184],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[186],"notation=\"LaTeX\">$O(1/T)$</tex-math></inline-formula>":[187],"non-convex":[190],"function.":[191],"Empirical":[192],"studies":[193],"demonstrate":[194],"that":[195],"outperforms":[197],"existing":[198],"algorithms,":[199],"with":[200],"1%":[202],"accuracy":[203],"increase":[204],"30%":[206],"convergence,":[208],"achieving":[209],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">SOTA</b>.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-12-01T00:00:00"}