{"id":"https://openalex.org/W7150890548","doi":"https://doi.org/10.48550/arxiv.2604.03226","title":"Enhancing Robustness of Federated Learning via Server Learning","display_name":"Enhancing Robustness of Federated Learning via Server Learning","publication_year":2026,"publication_date":"2026-04-03","ids":{"openalex":"https://openalex.org/W7150890548","doi":"https://doi.org/10.48550/arxiv.2604.03226"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.03226","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03226","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.03226","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133000896","display_name":"Van Sy Mai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mai, Van Sy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133042227","display_name":"Kushal Chakrabarti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chakrabarti, Kushal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039201084","display_name":"Richard J. La","orcid":"https://orcid.org/0000-0002-4836-8475"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"La, Richard J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090451555","display_name":"Dipankar Maity","orcid":"https://orcid.org/0000-0002-7745-9405"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maity, Dipankar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.965499997138977,"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":0.965499997138977,"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/T10237","display_name":"Cryptography and Data Security","score":0.0034000000450760126,"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":0.003000000026077032,"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/robustness","display_name":"Robustness (evolution)","score":0.8151000142097473},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.7335000038146973},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.5062000155448914},{"id":"https://openalex.org/keywords/client\u2013server-model","display_name":"Client\u2013server model","score":0.4625999927520752},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.44290000200271606},{"id":"https://openalex.org/keywords/application-server","display_name":"Application server","score":0.42260000109672546},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.3779999911785126},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.36309999227523804}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8151000142097473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784500002861023},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7335000038146973},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.5062000155448914},{"id":"https://openalex.org/C152880691","wikidata":"https://www.wikidata.org/wiki/Q146813","display_name":"Client\u2013server model","level":3,"score":0.4625999927520752},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C164554305","wikidata":"https://www.wikidata.org/wiki/Q71550","display_name":"Application server","level":2,"score":0.42260000109672546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3865000009536743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38269999623298645},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.36309999227523804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3522000014781952},{"id":"https://openalex.org/C205295232","wikidata":"https://www.wikidata.org/wiki/Q76320","display_name":"Database server","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2928999960422516},{"id":"https://openalex.org/C14414571","wikidata":"https://www.wikidata.org/wiki/Q519081","display_name":"Server-side","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2815000116825104},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.271699994802475},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C10431821","wikidata":"https://www.wikidata.org/wiki/Q6510174","display_name":"Learning effect","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C11392498","wikidata":"https://www.wikidata.org/wiki/Q11288","display_name":"Web server","level":3,"score":0.25619998574256897},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.03226","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03226","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.03226","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03226","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6037794947624207}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"explores":[2],"the":[3,10,64,79,83,100],"use":[4],"of":[5,12,66,99],"server":[6,36,84],"learning":[7,14,37],"for":[8],"enhancing":[9],"robustness":[11],"federated":[13],"against":[15],"malicious":[16,67],"attacks":[17],"even":[18,62,71],"when":[19,63],"clients'":[20,101],"training":[21],"data":[22],"are":[23],"not":[24,94],"independent":[25],"and":[26,38,78,87],"identically":[27],"distributed.":[28],"We":[29,48],"propose":[30],"a":[31],"heuristic":[32],"algorithm":[33],"that":[34,52,98],"uses":[35],"client":[39],"update":[40],"filtering":[41],"in":[42,59,75],"combination":[43],"with":[44,91],"geometric":[45],"median":[46],"aggregation.":[47],"demonstrate":[49],"via":[50],"experiments":[51],"this":[53],"approach":[54],"can":[55],"achieve":[56],"significant":[57],"improvement":[58],"model":[60],"accuracy":[61],"fraction":[65],"clients":[68],"is":[69,85],"high,":[70],"more":[72],"than":[73],"$50\\%$":[74],"some":[76],"cases,":[77],"dataset":[80],"utilized":[81],"by":[82],"small":[86],"could":[88],"be":[89],"synthetic":[90],"its":[92],"distribution":[93],"necessarily":[95],"close":[96],"to":[97],"aggregated":[102],"data.":[103]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-07T00:00:00"}