{"id":"https://openalex.org/W4416250089","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229161","title":"The Built-In Robustness of Decentralized Federated Averaging to Bad Data","display_name":"The Built-In Robustness of Decentralized Federated Averaging to Bad Data","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250089","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229161"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5120002112","display_name":"Samuele Sabella","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Samuele Sabella","raw_affiliation_strings":["Consiglio Nazionale Delle Ricerche,Istituto di Informatica e Telematica,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"Consiglio Nazionale Delle Ricerche,Istituto di Informatica e Telematica,Pisa,Italy","institution_ids":["https://openalex.org/I4210130157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025706910","display_name":"Chiara Boldrini","orcid":"https://orcid.org/0000-0001-5080-8110"},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Boldrini","raw_affiliation_strings":["Consiglio Nazionale Delle Ricerche,Istituto di Informatica e Telematica,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"Consiglio Nazionale Delle Ricerche,Istituto di Informatica e Telematica,Pisa,Italy","institution_ids":["https://openalex.org/I4210130157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022139051","display_name":"Lorenzo Valerio","orcid":"https://orcid.org/0000-0001-5574-7847"},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Valerio","raw_affiliation_strings":["Consiglio Nazionale Delle Ricerche,Istituto di Informatica e Telematica,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"Consiglio Nazionale Delle Ricerche,Istituto di Informatica e Telematica,Pisa,Italy","institution_ids":["https://openalex.org/I4210130157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018610428","display_name":"Andrea Passarella","orcid":"https://orcid.org/0000-0002-1694-612X"},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Passarella","raw_affiliation_strings":["Consiglio Nazionale Delle Ricerche,Istituto di Informatica e Telematica,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"Consiglio Nazionale Delle Ricerche,Istituto di Informatica e Telematica,Pisa,Italy","institution_ids":["https://openalex.org/I4210130157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051596806","display_name":"Marco Conti","orcid":"https://orcid.org/0000-0003-4097-4064"},"institutions":[{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Conti","raw_affiliation_strings":["Consiglio Nazionale Delle Ricerche,Istituto di Informatica e Telematica,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"Consiglio Nazionale Delle Ricerche,Istituto di Informatica e Telematica,Pisa,Italy","institution_ids":["https://openalex.org/I4210130157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5120002112"],"corresponding_institution_ids":["https://openalex.org/I4210130157"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19405391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9296000003814697,"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":0.9296000003814697,"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":0.0071000000461936,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.006500000134110451,"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":0.8069999814033508},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5956000089645386},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.5335000157356262},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4948999881744385},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4050000011920929},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.39640000462532043},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.3833000063896179},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.3203999996185303}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8069999814033508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7505000233650208},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5956000089645386},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.5335000157356262},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49950000643730164},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4948999881744385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4341000020503998},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4050000011920929},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.39640000462532043},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.3833000063896179},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C193519340","wikidata":"https://www.wikidata.org/wiki/Q891179","display_name":"Data loss","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C205875254","wikidata":"https://www.wikidata.org/wiki/Q17156857","display_name":"Decentralised system","level":3,"score":0.2946000099182129},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2906999886035919},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2879999876022339},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.25949999690055847},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2008620264","https://openalex.org/W2132022337","https://openalex.org/W2292373418","https://openalex.org/W2963003451","https://openalex.org/W2996845627","https://openalex.org/W3004155269","https://openalex.org/W3016186637","https://openalex.org/W3084847664","https://openalex.org/W3087391814","https://openalex.org/W3158567365","https://openalex.org/W4206726406","https://openalex.org/W4235571646","https://openalex.org/W4317795078","https://openalex.org/W4378976270","https://openalex.org/W4391940537","https://openalex.org/W4411583003","https://openalex.org/W4413147796"],"related_works":[],"abstract_inverted_index":{"Decentralized":[0],"federated":[1],"learning":[2,168,234],"(DFL)":[3],"enables":[4],"devices":[5],"to":[6,39,47,59,72,95,172],"collaboratively":[7],"train":[8],"models":[9,106],"over":[10],"complex":[11],"network":[12,213],"topologies":[13],"without":[14],"relying":[15],"on":[16,108,125,153,202],"a":[17,41,63,82,143,154,157,203],"central":[18,64],"controller.":[19],"In":[20],"this":[21,191],"setting,":[22],"local":[23],"data":[24,51,87,110,124,133,138,180,199],"remains":[25,52],"private,":[26],"but":[27,54],"its":[28,98,208],"quality":[29],"and":[30,77,147],"quantity":[31],"can":[32,67,111],"vary":[33],"significantly":[34],"across":[35],"nodes.":[36],"The":[37],"extent":[38],"which":[40,223],"fully":[42],"decentralized":[43,158,167],"system":[44],"is":[45,139,151,169,193,200,217],"vulnerable":[46],"poor-quality":[48],"or":[49,74],"corrupted":[50,137,179,198],"unclear,":[53],"several":[55],"factors":[56],"could":[57],"contribute":[58],"potential":[60],"risks.":[61],"Without":[62],"authority,":[65],"there":[66],"be":[68],"no":[69,226],"unified":[70],"mechanism":[71],"detect":[73],"correct":[75],"errors,":[76],"each":[78],"node":[79,94],"operates":[80],"with":[81,101,131],"localized":[83,173],"view":[84],"of":[85,122,145,160,187,207],"the":[86,93,102,114,120,136,178,183,188,197,211,220,232],"distribution,":[88],"making":[89],"it":[90,150],"difficult":[91],"for":[92],"assess":[96],"whether":[97],"perspective":[99],"aligns":[100],"true":[103],"distribution.":[104],"Moreover,":[105],"trained":[107],"low-quality":[109,123],"propagate":[112],"through":[113],"network,":[115],"amplifying":[116],"errors.":[117],"To":[118],"explore":[119],"impact":[121],"DFL,":[126],"we":[127],"simulate":[128],"two":[129],"scenarios":[130],"degraded":[132],"quality\u2014one":[134],"where":[135,149],"evenly":[140],"distributed":[141],"in":[142,182,210],"subset":[144],"nodes":[146,186],"one":[148],"concentrated":[152,201],"single":[155,204,227],"node\u2014using":[156],"implementation":[159],"FedAvg.":[161],"Our":[162],"results":[163],"reveal":[164],"that":[165,225],"averaging-based":[166],"remarkably":[170],"robust":[171],"bad":[174],"data,":[175],"even":[176],"when":[177,196],"resides":[181],"most":[184],"influential":[185],"network.":[189],"Counterintuitively,":[190],"robustness":[192],"further":[194],"enhanced":[195],"node,":[205],"regardless":[206],"centrality":[209],"communication":[212],"topology.":[214],"This":[215],"phenomenon":[216],"explained":[218],"by":[219],"averaging":[221],"process,":[222],"ensures":[224],"node\u2014however":[228],"central\u2014can":[229],"disproportionately":[230],"influence":[231],"overall":[233],"process.":[235]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}
