{"id":"https://openalex.org/W4385801002","doi":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200520","title":"Parameter-less Asynchronous Federated Learning under Computation and Communication Constraints","display_name":"Parameter-less Asynchronous Federated Learning under Computation and Communication Constraints","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4385801002","doi":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200520"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200520","pdf_url":null,"source":{"id":"https://openalex.org/S4363607744","display_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5114778026","display_name":"Mengfan Wu","orcid":"https://orcid.org/0000-0003-4176-6603"},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mengfan Wu","raw_affiliation_strings":["Munich Research Center, Huawei Technologies","School of Electrical Engineering and Computer Science, TU Berlin"],"affiliations":[{"raw_affiliation_string":"Munich Research Center, Huawei Technologies","institution_ids":["https://openalex.org/I4210129353"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, TU Berlin","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066903933","display_name":"Mate Boban","orcid":"https://orcid.org/0000-0003-0668-7627"},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mate Boban","raw_affiliation_strings":["Munich Research Center, Huawei Technologies"],"affiliations":[{"raw_affiliation_string":"Munich Research Center, Huawei Technologies","institution_ids":["https://openalex.org/I4210129353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042212040","display_name":"Falko Dressler","orcid":"https://orcid.org/0000-0002-1989-1750"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Falko Dressler","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, TU Berlin"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, TU Berlin","institution_ids":["https://openalex.org/I4577782"]}]}],"institution_assertions":[],"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":68},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":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/T10237","display_name":"Cryptography and Data Security","score":0.9982,"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":0.9977,"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/asynchronous-learning","display_name":"Asynchronous learning","score":0.43918493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8392826},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7956403},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6013917},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4455762},{"id":"https://openalex.org/C2777072894","wikidata":"https://www.wikidata.org/wiki/Q4812204","display_name":"Asynchronous learning","level":5,"score":0.43918493},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33218536},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23912492},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15171188},{"id":"https://openalex.org/C19122763","wikidata":"https://www.wikidata.org/wiki/Q7662215","display_name":"Synchronous learning","level":4,"score":0.085719824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06644866},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.0},{"id":"https://openalex.org/C51672120","wikidata":"https://www.wikidata.org/wiki/Q303446","display_name":"Cooperative learning","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2023-spring57618.2023.10200520","pdf_url":null,"source":{"id":"https://openalex.org/S4363607744","display_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.57}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W2621645821","https://openalex.org/W2921434559","https://openalex.org/W2978015420","https://openalex.org/W2991236681","https://openalex.org/W3015636663","https://openalex.org/W3041733661","https://openalex.org/W3105122387","https://openalex.org/W3106416029","https://openalex.org/W3118142491","https://openalex.org/W3157640530","https://openalex.org/W3159080474","https://openalex.org/W3176917312","https://openalex.org/W3187759670","https://openalex.org/W3189532120","https://openalex.org/W3203503583","https://openalex.org/W3211437387","https://openalex.org/W4293094831","https://openalex.org/W4297687186"],"related_works":["https://openalex.org/W4401821536","https://openalex.org/W4295242624","https://openalex.org/W4226047841","https://openalex.org/W3020208395","https://openalex.org/W2946278724","https://openalex.org/W2496167052","https://openalex.org/W2156559761","https://openalex.org/W2058515809","https://openalex.org/W2041343407","https://openalex.org/W1956936791"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"is":[2],"a":[3,62],"fast-developing":[4],"distributed":[5],"learning":[6,37,110],"scheme":[7,65],"that":[8,90],"has":[9],"promising":[10],"applications":[11],"in":[12,35,107,115,125],"vertical":[13],"domains":[14],"such":[15,102],"as":[16,103],"industrial":[17],"automation":[18],"and":[19,48,55,111,129],"connected":[20],"automated":[21],"driving.":[22],"In":[23],"this":[24],"paper":[25],"we":[26],"address":[27],"the":[28,31,53,78,82,91,104,112],"heterogeneity":[29],"of":[30,33,43,69,73,100,127],"participation":[32],"devices":[34],"federated":[36,109],"caused":[38],"by:":[39],"i)":[40],"non-uniform":[41],"distribution":[42],"local":[44],"data;":[45],"ii)":[46],"uneven":[47],"varying":[49],"computational":[50],"resources":[51],"across":[52],"devices;":[54],"iii)":[56],"dynamic":[57],"communication":[58],"link.":[59],"We":[60,88],"propose":[61],"quasi-dynamic":[63],"simulation":[64],"allowing":[66],"realistic":[67],"approximation":[68],"these":[70],"three":[71],"factors":[72],"heterogeneity.":[74],"Aggregation":[75],"schemes":[76],"at":[77],"server":[79],"based":[80],"on":[81],"clients'":[83],"work":[84],"status":[85],"are":[86],"implemented.":[87],"show":[89],"new":[92],"asynchronous":[93,117],"aggregation":[94,113],"algorithm":[95],"does":[96],"not":[97],"require":[98],"tuning":[99],"hyper-parameters":[101],"round":[105],"time":[106],"synchronous":[108],"weight":[114],"classic":[116],"aggregation,":[118],"while":[119],"providing":[120],"better":[121],"or":[122],"comparable":[123],"performance":[124],"terms":[126],"accuracy":[128],"convergence":[130],"speed.":[131]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4385801002","counts_by_year":[],"updated_date":"2024-12-06T01:30:42.479737","created_date":"2023-08-15"}