{"id":"https://openalex.org/W4389217052","doi":"https://doi.org/10.48550/arxiv.2311.16459","title":"On the Effect of Defections in Federated Learning and How to Prevent Them","display_name":"On the Effect of Defections in Federated Learning and How to Prevent Them","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389217052","doi":"https://doi.org/10.48550/arxiv.2311.16459"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2311.16459","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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2311.16459","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037349275","display_name":"Minbiao Han","orcid":"https://orcid.org/0000-0001-6323-8364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Minbiao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056989506","display_name":"Kumar Kshitij Patel","orcid":"https://orcid.org/0000-0002-6886-6826"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patel, Kumar Kshitij","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103232707","display_name":"S. Han","orcid":"https://orcid.org/0000-0003-4634-467X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shao, Han","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779977","display_name":"Lingxiao Wang","orcid":"https://orcid.org/0000-0003-3757-3403"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Lingxiao","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9983,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9983,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9963,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9931,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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","score":0.8262919},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated Learning","score":0.7623974},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.4504949}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8262919},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.7623974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941812},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.60130894},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5619049},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.47423312},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.4504949},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43980044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37601745},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3669406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33054215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10436571},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09964767},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.07905781},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.074791014},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.065252215},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2311.16459","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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2311.16459","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2311.16459","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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4323521275","https://openalex.org/W4322741898","https://openalex.org/W4317941881","https://openalex.org/W4229067761","https://openalex.org/W4220738117","https://openalex.org/W3145562225","https://openalex.org/W3137689821","https://openalex.org/W3091296419","https://openalex.org/W3035996294","https://openalex.org/W2954034773"],"abstract_inverted_index":{"Federated":[0],"learning":[1,5,29],"is":[2],"a":[3,9,21,86],"machine":[4],"protocol":[6],"that":[7,50,73],"enables":[8],"large":[10],"population":[11],"of":[12,58,121],"agents":[13,32],"to":[14,19,35,68,79,93,100,113],"collaborate":[15],"over":[16],"multiple":[17],"rounds":[18],"produce":[20],"single":[22],"consensus":[23],"model.":[24],"There":[25],"are":[26,43],"several":[27],"federated":[28,75],"applications":[30],"where":[31],"may":[33],"choose":[34],"defect":[36],"permanently$-$essentially":[37],"withdrawing":[38],"from":[39],"the":[40,55,62,119],"collaboration$-$if":[41],"they":[42],"content":[44],"with":[45,90],"their":[46],"instantaneous":[47],"model":[48],"in":[49],"round.":[51],"This":[52],"work":[53],"demonstrates":[54],"detrimental":[56],"impact":[57],"such":[59],"defections":[60,95],"on":[61],"final":[63],"model's":[64],"robustness":[65],"and":[66,117],"ability":[67],"generalize.":[69],"We":[70,84,108],"also":[71,109],"show":[72],"current":[74],"optimization":[76,88],"algorithms":[77],"fail":[78],"disincentivize":[80],"these":[81],"harmful":[82],"defections.":[83],"introduce":[85],"novel":[87],"algorithm":[89],"theoretical":[91],"guarantees":[92],"prevent":[94],"while":[96],"ensuring":[97],"asymptotic":[98],"convergence":[99],"an":[101],"effective":[102],"solution":[103],"for":[104],"all":[105],"participating":[106],"agents.":[107],"provide":[110],"numerical":[111],"experiments":[112],"corroborate":[114],"our":[115,122],"findings":[116],"demonstrate":[118],"effectiveness":[120],"algorithm.":[123]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4389217052","counts_by_year":[],"updated_date":"2025-01-06T02:12:42.350827","created_date":"2023-12-01"}