{"id":"https://openalex.org/W4377089990","doi":"https://doi.org/10.48550/arxiv.2305.09856","title":"Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients","display_name":"Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients","publication_year":2023,"publication_date":"2023-05-16","ids":{"openalex":"https://openalex.org/W4377089990","doi":"https://doi.org/10.48550/arxiv.2305.09856"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2305.09856","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.09856","pdf_url":"https://arxiv.org/pdf/2305.09856","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2305.09856","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040143684","display_name":"Victoria Huang","orcid":"https://orcid.org/0000-0003-4037-9898"},"institutions":[{"id":"https://openalex.org/I45935490","display_name":"National Institute of Water and Atmospheric Research","ror":"https://ror.org/04hxcaz34","country_code":"NZ","type":"facility","lineage":["https://openalex.org/I45935490"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Huang, Victoria","raw_affiliation_strings":["National Institute of Water and Atmospheric Research, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Water and Atmospheric Research, Wellington, New Zealand","institution_ids":["https://openalex.org/I45935490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028526477","display_name":"Shaleeza Sohail","orcid":"https://orcid.org/0000-0002-3844-6812"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sohail, Shaleeza","raw_affiliation_strings":["University of Newcastle, New South Wales, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Newcastle, New South Wales, Australia","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026513481","display_name":"Michael Mayo","orcid":"https://orcid.org/0000-0001-8222-3782"},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mayo, Michael","raw_affiliation_strings":["University of Waikato, Hamilton, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waikato, Hamilton, New Zealand","institution_ids":["https://openalex.org/I52179390"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009723560","display_name":"Tania Lorido Botr\u00e1n","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Botran, Tania Lorido","raw_affiliation_strings":["Roblox, California, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Roblox, California, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049296124","display_name":"Mark Rodrigues","orcid":"https://orcid.org/0000-0002-4507-6872"},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Rodrigues, Mark","raw_affiliation_strings":["University of Waikato, Hamilton, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waikato, Hamilton, New Zealand","institution_ids":["https://openalex.org/I52179390"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103476816","display_name":"Chris Anderson","orcid":null},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Anderson, Chris","raw_affiliation_strings":["University of Waikato, Hamilton, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waikato, Hamilton, New Zealand","institution_ids":["https://openalex.org/I52179390"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085724017","display_name":"Melanie Po\u2010Leen Ooi","orcid":"https://orcid.org/0000-0002-1623-0105"},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Ooi, Melanie","raw_affiliation_strings":["University of Waikato, Hamilton, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waikato, Hamilton, New Zealand","institution_ids":["https://openalex.org/I52179390"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"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":1.0,"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":1.0,"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/T13553","display_name":"Age of Information Optimization","score":0.9871000051498413,"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"}},{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/popularity","display_name":"Popularity","score":0.7911209464073181},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.7789724469184875},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.7469220161437988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7274848818778992},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.57902991771698},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4289887249469757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.406046599149704},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3498554825782776},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.343340665102005},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.33984947204589844},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.30180680751800537}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7911209464073181},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.7789724469184875},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.7469220161437988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7274848818778992},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.57902991771698},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4289887249469757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.406046599149704},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3498554825782776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.343340665102005},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33984947204589844},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.30180680751800537},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2305.09856","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.09856","pdf_url":"https://arxiv.org/pdf/2305.09856","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:uon:54065","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.13/1495752","pdf_url":null,"source":{"id":"https://openalex.org/S4377196471","display_name":"NOVA (University of Newcastle Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I78757542","host_organization_name":"University of Newcastle Australia","host_organization_lineage":["https://openalex.org/I78757542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"},{"id":"doi:10.48550/arxiv.2305.09856","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2305.09856","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.09856","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.09856","pdf_url":"https://arxiv.org/pdf/2305.09856","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377089990.pdf","grobid_xml":"https://content.openalex.org/works/W4377089990.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2076147364","https://openalex.org/W2116024466","https://openalex.org/W2563540059","https://openalex.org/W2791441828","https://openalex.org/W2810065831","https://openalex.org/W2900594532","https://openalex.org/W2930926105","https://openalex.org/W2972617339","https://openalex.org/W3006403513","https://openalex.org/W3015636663","https://openalex.org/W3021718926","https://openalex.org/W3022394808","https://openalex.org/W3045475441","https://openalex.org/W3045638580","https://openalex.org/W3046220160","https://openalex.org/W3093414036","https://openalex.org/W3106673115","https://openalex.org/W3109847748","https://openalex.org/W3116863821","https://openalex.org/W3159623990","https://openalex.org/W3175919946","https://openalex.org/W3176639943","https://openalex.org/W3193704928","https://openalex.org/W3195767702","https://openalex.org/W3204091362","https://openalex.org/W3205701848","https://openalex.org/W4205632673","https://openalex.org/W4221141154","https://openalex.org/W4245910752","https://openalex.org/W4281384403","https://openalex.org/W4284681284","https://openalex.org/W4285302300","https://openalex.org/W4286908773","https://openalex.org/W4287704116","https://openalex.org/W4292754516","https://openalex.org/W4293233834","https://openalex.org/W4300716840","https://openalex.org/W4312439382","https://openalex.org/W4318619660","https://openalex.org/W4384787634","https://openalex.org/W4392903407"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2741781807"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"(FL),":[2],"as":[3],"an":[4],"emerging":[5],"artificial":[6],"intelligence":[7],"(AI)":[8],"approach,":[9],"enables":[10],"decentralized":[11],"model":[12],"training":[13,21],"across":[14],"multiple":[15],"devices":[16,52],"without":[17],"exposing":[18],"their":[19],"local":[20],"data.":[22],"FL":[23,84,92],"has":[24],"been":[25,38],"increasingly":[26],"gaining":[27],"popularity":[28],"in":[29,60,98],"both":[30],"academia":[31],"and":[32],"industry.":[33],"While":[34],"research":[35],"works":[36],"have":[37],"proposed":[39],"to":[40,81,88],"improve":[41],"the":[42,47,89,99],"fault":[43,85],"tolerance":[44],"of":[45,50,79,101],"FL,":[46],"real":[48],"impact":[49],"unreliable":[51,102],"(e.g.,":[53],"dropping":[54],"out,":[55],"misconfiguration,":[56],"poor":[57],"data":[58],"quality)":[59],"real-world":[61,72],"applications":[62],"is":[63],"not":[64],"fully":[65],"investigated.":[66],"We":[67],"carefully":[68],"chose":[69],"two":[70],"representative,":[71],"classification":[73],"problems":[74],"with":[75],"a":[76],"limited":[77],"numbers":[78],"clients":[80],"better":[82],"analyze":[83],"tolerance.":[86],"Contrary":[87],"intuition,":[90],"simple":[91],"algorithms":[93],"can":[94],"perform":[95],"surprisingly":[96],"well":[97],"presence":[100],"clients.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}