{"id":"https://openalex.org/W4406457506","doi":"https://doi.org/10.1109/tsp.2025.3526782","title":"Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics","display_name":"Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406457506","doi":"https://doi.org/10.1109/tsp.2025.3526782"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2025.3526782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3526782","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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":null,"display_name":"Ming Xiang","orcid":"https://orcid.org/0000-0001-5958-132X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ming Xiang","raw_affiliation_strings":["Department of ECE, Northeastern University, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-5958-132X","affiliations":[{"raw_affiliation_string":"Department of ECE, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049931304","display_name":"Stratis Ioannidis","orcid":"https://orcid.org/0000-0001-8355-4751"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stratis Ioannidis","raw_affiliation_strings":["Department of ECE, Northeastern University, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8355-4751","affiliations":[{"raw_affiliation_string":"Department of ECE, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012484312","display_name":"Edmund Yeh","orcid":"https://orcid.org/0000-0002-9544-1567"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edmund Yeh","raw_affiliation_strings":["Department of ECE, Northeastern University, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-9544-1567","affiliations":[{"raw_affiliation_string":"Department of ECE, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085243096","display_name":"Carlee Joe\u2010Wong","orcid":"https://orcid.org/0000-0003-0785-9291"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlee Joe-Wong","raw_affiliation_strings":["Department of ECE, Carnegie Mellon University, Pittsburgh, PA, USA","Department of ECE, Northeastern University, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0785-9291","affiliations":[{"raw_affiliation_string":"Department of ECE, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Department of ECE, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101541239","display_name":"Lili Su","orcid":"https://orcid.org/0000-0003-3538-5679"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lili Su","raw_affiliation_strings":["Department of ECE, Northeastern University, Boston, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3538-5679","affiliations":[{"raw_affiliation_string":"Department of ECE, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":2.1733,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86925704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"73","issue":null,"first_page":"766","last_page":"780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9901000261306763,"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":0.9901000261306763,"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/gossip","display_name":"Gossip","score":0.8596059083938599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.77386873960495},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.5956600308418274},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.48969176411628723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40546876192092896},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39353251457214355},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3830190896987915},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3314305245876312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1375676691532135},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10513123869895935}],"concepts":[{"id":"https://openalex.org/C62989814","wikidata":"https://www.wikidata.org/wiki/Q854648","display_name":"Gossip","level":2,"score":0.8596059083938599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77386873960495},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.5956600308418274},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.48969176411628723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40546876192092896},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39353251457214355},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3830190896987915},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3314305245876312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1375676691532135},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10513123869895935},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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":1,"locations":[{"id":"doi:10.1109/tsp.2025.3526782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3526782","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G3474627646","display_name":null,"funder_award_id":"W911NF-23-2-0014","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G3512031169","display_name":null,"funder_award_id":"2107062","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5592724434","display_name":null,"funder_award_id":"2106891","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7458968323","display_name":null,"funder_award_id":"2340482","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1992208280","https://openalex.org/W2070102492","https://openalex.org/W2076125241","https://openalex.org/W2110100895","https://openalex.org/W2782781452","https://openalex.org/W2949585412","https://openalex.org/W2950187076","https://openalex.org/W2975089423","https://openalex.org/W3118815647","https://openalex.org/W3192649393","https://openalex.org/W4206320562","https://openalex.org/W4221143748","https://openalex.org/W4312875989","https://openalex.org/W4313031434","https://openalex.org/W4386260571","https://openalex.org/W4386768963","https://openalex.org/W4391020603","https://openalex.org/W6622473587","https://openalex.org/W6662929504","https://openalex.org/W6703116779","https://openalex.org/W6728757088","https://openalex.org/W6752979356","https://openalex.org/W6755174528","https://openalex.org/W6759226220","https://openalex.org/W6759238902","https://openalex.org/W6765541894","https://openalex.org/W6766978945","https://openalex.org/W6767676916","https://openalex.org/W6773817997","https://openalex.org/W6777541487","https://openalex.org/W6781318954","https://openalex.org/W6784343361","https://openalex.org/W6787972765","https://openalex.org/W6790212648","https://openalex.org/W6791406762","https://openalex.org/W6791518594","https://openalex.org/W6796204086","https://openalex.org/W6799962196","https://openalex.org/W6838048988","https://openalex.org/W6839029159","https://openalex.org/W6840650747","https://openalex.org/W6849301735","https://openalex.org/W6853911052","https://openalex.org/W6981657223"],"related_works":["https://openalex.org/W4386850441","https://openalex.org/W2479311294","https://openalex.org/W2094020986","https://openalex.org/W2028973390","https://openalex.org/W4236832331","https://openalex.org/W12419204","https://openalex.org/W2340554994","https://openalex.org/W2761760483","https://openalex.org/W2484127681","https://openalex.org/W4377097986"],"abstract_inverted_index":{"Federated":[0,125,137],"learning":[1,6,12,50,123],"is":[2,73],"a":[3,10,21,25,141,182],"popular":[4],"distributed":[5],"approach":[7],"for":[8],"training":[9,171],"machine":[11],"model":[13,159,197,233],"without":[14],"disclosing":[15],"raw":[16],"data.":[17],"It":[18,146],"consists":[19],"of":[20,29,54,95,144,169,185,216,220,230],"parameter":[22,65,153],"server":[23,66,154],"and":[24,41,56,67],"possibly":[26],"large":[27],"collection":[28],"clients":[30,162,204],"(e.g.,":[31],"in":[32,39,51,84,150,208],"cross-device":[33],"federated":[34,49,122],"learning)":[35],"that":[36,108,151,178],"may":[37],"operate":[38],"congested":[40],"changing":[42],"environments.":[43],"In":[44,214],"this":[45,133],"paper,":[46],"we":[47,91,135,176,225],"study":[48],"the":[52,61,64,93,110,118,152,157,161,167,186,191,195,203,217,228,231],"presence":[53],"stochastic":[55],"dynamic":[57],"communication":[58],"failures":[59],"wherein":[60],"uplink":[62,174,254],"between":[63],"client":[68],"<inline-formula":[69,80,86,96,111,210,221],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[70,77,81,87,97,103,112,211,222],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[71,82,88,98,113,212,223],"notation=\"LaTeX\">$i$</tex-math></inline-formula>":[72],"on":[74,248],"with":[75,163,205],"<italic":[76,102],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">unknown</i>":[78],"probability":[79],"notation=\"LaTeX\">$p_{i}^{t}$</tex-math></inline-formula>":[83,99],"round":[85,209],"notation=\"LaTeX\">$t$</tex-math></inline-formula>.":[89,213],"Furthermore,":[90],"allow":[92],"dynamics":[94,234],"to":[100,160,181,237,256],"be":[101],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">arbitrary</i>.":[104],"We":[105],"first":[106],"demonstrate":[107],"when":[109],"notation=\"LaTeX\">$p_{i}^{t}$</tex-math></inline-formula>'s":[114],"vary":[115],"across":[116],"clients,":[117],"most":[119],"widely":[120],"adopted":[121],"algorithm,":[124],"Average":[126],"(FedAvg),":[127],"experiences":[128],"significant":[129],"bias.":[130],"To":[131],"address":[132],"observation,":[134],"propose":[136],"Postponed":[138],"Broadcast":[139],"(FedPBC),":[140],"simple":[142],"variant":[143],"FedAvg.":[145],"differs":[147],"from":[148],"FedAvg":[149],"postpones":[155],"broadcasting":[156],"global":[158,196,232],"active":[164,206],"uplinks":[165],"till":[166],"end":[168],"each":[170],"round.":[172],"Despite":[173],"failures,":[175],"show":[177],"FedPBC":[179],"converges":[180],"stationary":[183],"point":[184],"original":[187],"non-convex":[188],"objective.":[189],"On":[190],"technical":[192],"front,":[193],"postponing":[194],"broadcasts":[198],"enables":[199],"implicit":[200],"gossiping":[201],"among":[202],"links":[207],"spite":[215],"time-varying":[218],"nature":[219],"notation=\"LaTeX\">$p_{i}^{t}$</tex-math></inline-formula>,":[224],"can":[226],"bound":[227],"perturbation":[229],"using":[235],"techniques":[236],"control":[238],"gossip-type":[239],"information":[240],"mixing":[241],"errors.":[242],"Extensive":[243],"experiments":[244],"have":[245],"been":[246],"conducted":[247],"real-world":[249],"datasets":[250],"over":[251],"diversified":[252],"unreliable":[253],"patterns":[255],"corroborate":[257],"our":[258],"analysis.":[259]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
