{"id":"https://openalex.org/W4409046937","doi":"https://doi.org/10.1145/3721146.3721952","title":"Towards Asynchronous Peer-to-Peer Federated Learning for Heterogeneous Systems","display_name":"Towards Asynchronous Peer-to-Peer Federated Learning for Heterogeneous Systems","publication_year":2025,"publication_date":"2025-03-30","ids":{"openalex":"https://openalex.org/W4409046937","doi":"https://doi.org/10.1145/3721146.3721952"},"language":"en","primary_location":{"id":"doi:10.1145/3721146.3721952","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721146.3721952","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3721146.3721952","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Workshop on Machine Learning and Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3721146.3721952","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084085872","display_name":"Christos Sad","orcid":"https://orcid.org/0009-0009-2179-5870"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Sad","raw_affiliation_strings":["Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":"https://orcid.org/0009-0009-2179-5870","affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021130742","display_name":"George Retsinas","orcid":"https://orcid.org/0000-0001-6734-3575"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Retsinas","raw_affiliation_strings":["National Technical University of Athens, Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0001-6734-3575","affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043131021","display_name":"Dimitrios Soudris","orcid":"https://orcid.org/0000-0002-6930-6847"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Soudris","raw_affiliation_strings":["National Technical University of Athens, Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0002-6930-6847","affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072486756","display_name":"Kostas Siozios","orcid":"https://orcid.org/0000-0002-0285-2202"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Kostas Siozios","raw_affiliation_strings":["Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":"https://orcid.org/0000-0002-0285-2202","affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028774103","display_name":"Dimosthenis Masouros","orcid":"https://orcid.org/0000-0001-6147-6908"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimosthenis Masouros","raw_affiliation_strings":["National Technical University of Athens, Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0001-6147-6908","affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03661427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9926999807357788,"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":0.9922999739646912,"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/computer-science","display_name":"Computer science","score":0.7734569311141968},{"id":"https://openalex.org/keywords/peer-to-peer","display_name":"Peer-to-peer","score":0.7660282850265503},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.7389077544212341},{"id":"https://openalex.org/keywords/asynchronous-learning","display_name":"Asynchronous learning","score":0.6538457870483398},{"id":"https://openalex.org/keywords/peer-review","display_name":"Peer review","score":0.4414025843143463},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.42818179726600647},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3061452805995941},{"id":"https://openalex.org/keywords/synchronous-learning","display_name":"Synchronous learning","score":0.15809181332588196},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.10821318626403809},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10276928544044495},{"id":"https://openalex.org/keywords/cooperative-learning","display_name":"Cooperative learning","score":0.08558341860771179},{"id":"https://openalex.org/keywords/teaching-method","display_name":"Teaching method","score":0.06676435470581055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7734569311141968},{"id":"https://openalex.org/C534932454","wikidata":"https://www.wikidata.org/wiki/Q161410","display_name":"Peer-to-peer","level":2,"score":0.7660282850265503},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7389077544212341},{"id":"https://openalex.org/C2777072894","wikidata":"https://www.wikidata.org/wiki/Q4812204","display_name":"Asynchronous learning","level":5,"score":0.6538457870483398},{"id":"https://openalex.org/C138368954","wikidata":"https://www.wikidata.org/wiki/Q215028","display_name":"Peer review","level":2,"score":0.4414025843143463},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42818179726600647},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3061452805995941},{"id":"https://openalex.org/C19122763","wikidata":"https://www.wikidata.org/wiki/Q7662215","display_name":"Synchronous learning","level":4,"score":0.15809181332588196},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.10821318626403809},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10276928544044495},{"id":"https://openalex.org/C51672120","wikidata":"https://www.wikidata.org/wiki/Q303446","display_name":"Cooperative learning","level":3,"score":0.08558341860771179},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.06676435470581055},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3721146.3721952","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721146.3721952","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3721146.3721952","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Workshop on Machine Learning and Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3721146.3721952","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721146.3721952","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3721146.3721952","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Workshop on Machine Learning and Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4409046937.pdf"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2541884796","https://openalex.org/W2617960902","https://openalex.org/W2918777711","https://openalex.org/W2945262235","https://openalex.org/W3043723611","https://openalex.org/W3090393599","https://openalex.org/W3118608800","https://openalex.org/W3127479988","https://openalex.org/W3134509799","https://openalex.org/W3162353295","https://openalex.org/W3164900515","https://openalex.org/W3168353230","https://openalex.org/W3190772738","https://openalex.org/W4206055738","https://openalex.org/W4285302300","https://openalex.org/W4287322665","https://openalex.org/W4297060365","https://openalex.org/W4366197842","https://openalex.org/W4379474637","https://openalex.org/W4385001873","https://openalex.org/W4385800841","https://openalex.org/W4386076042","https://openalex.org/W4386083155","https://openalex.org/W4386608426","https://openalex.org/W4387356123","https://openalex.org/W4389260754","https://openalex.org/W4393177796","https://openalex.org/W4402702950","https://openalex.org/W6687483927","https://openalex.org/W6771536673","https://openalex.org/W6790034021"],"related_works":["https://openalex.org/W4226047841","https://openalex.org/W2156559761","https://openalex.org/W3020208395","https://openalex.org/W2496167052","https://openalex.org/W1956936791","https://openalex.org/W2041343407","https://openalex.org/W4401821536","https://openalex.org/W2058515809","https://openalex.org/W4295242624","https://openalex.org/W2946278724"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"enables":[3],"collaborative":[4],"model":[5],"training":[6],"across":[7],"distributed,":[8],"privacy-sensitive":[9],"data":[10,37],"sources.":[11],"Traditional":[12],"FL":[13,57],"follows":[14],"a":[15,69,74],"centralized":[16],"client-server":[17],"architecture,":[18],"relying":[19],"on":[20,89],"synchronized":[21],"updates":[22,117],"and":[23,39,100,109],"uniform":[24],"participation.":[25],"However,":[26],"real-world":[27],"deployments":[28],"face":[29],"challenges":[30],"such":[31],"as":[32],"client":[33,124],"heterogeneity,":[34],"stragglers,":[35],"non-independent":[36],"distributions,":[38],"single":[40],"points":[41],"of":[42,82,115],"failure":[43],"due":[44],"to":[45,107],"server":[46],"centralization.":[47],"To":[48],"address":[49],"these":[50],"limitations,":[51],"we":[52],"propose":[53],"an":[54],"asynchronous":[55],"Peer-to-Peer":[56],"scheme":[58,95],"that":[59,93],"enhances":[60],"learning":[61],"efficiency":[62],"in":[63],"heterogeneous":[64],"environments.":[65],"Our":[66],"method":[67],"employs":[68],"gradient-aware":[70],"aggregation":[71],"algorithm":[72],"with":[73],"progress-based":[75],"adaptive":[76],"fusion":[77,129],"weight,":[78],"mitigating":[79],"the":[80],"impact":[81],"resource":[83],"disparities":[84],"among":[85,118],"clients.":[86,119],"Experimental":[87],"results":[88],"CIFAR-10/100":[90],"datasets":[91],"indicate":[92],"our":[94],"achieves":[96],"4.8":[97],"--":[98,102],"16.3%":[99],"10.9":[101],"37.7%":[103],"higher":[104],"accuracy":[105],"compared":[106],"FedAVG":[108],"FedSGD,":[110],"considering":[111],"constrained":[112],"total":[113],"number":[114],"exchanged":[116],"Furthermore,":[120],"it":[121],"effectively":[122],"handles":[123],"heterogeneity":[125],"through":[126],"its":[127],"dynamic":[128],"weight":[130],"adjustment.":[131]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}