{"id":"https://openalex.org/W3112972317","doi":"https://doi.org/10.1109/tsc.2020.3044043","title":"ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers","display_name":"ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers","publication_year":2020,"publication_date":"2020-12-11","ids":{"openalex":"https://openalex.org/W3112972317","doi":"https://doi.org/10.1109/tsc.2020.3044043","mag":"3112972317"},"language":"en","primary_location":{"id":"doi:10.1109/tsc.2020.3044043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2020.3044043","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"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 Services Computing","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":"https://openalex.org/A5022284072","display_name":"Zonghang Li","orcid":"https://orcid.org/0000-0002-2796-039X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zonghang Li","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-2796-039X","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024438027","display_name":"Huaman Zhou","orcid":"https://orcid.org/0000-0002-6421-664X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaman Zhou","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039410493","display_name":"Tianyao Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyao Zhou","raw_affiliation_strings":["Chien-Shiung Wu College, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chien-Shiung Wu College, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101507232","display_name":"Hongfang Yu","orcid":"https://orcid.org/0000-0002-5219-1780"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfang Yu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5219-1780","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051227924","display_name":"Zenglin Xu","orcid":"https://orcid.org/0000-0001-5550-6461"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenglin Xu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5550-6461","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053945147","display_name":"Gang Sun","orcid":"https://orcid.org/0000-0002-2448-8915"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Sun","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-2448-8915","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5022284072"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":2.582,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91881258,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"4","first_page":"2261","last_page":"2274"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9940999746322632,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9754999876022339,"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":0.7050031423568726},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6649116277694702},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.48292776942253113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38366273045539856},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3347846269607544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3205394148826599},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13558152318000793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050031423568726},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6649116277694702},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.48292776942253113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38366273045539856},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3347846269607544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3205394148826599},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13558152318000793},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsc.2020.3044043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2020.3044043","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"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 Services Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4099999964237213,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W2083842231","https://openalex.org/W2130062883","https://openalex.org/W2183341477","https://openalex.org/W2186615578","https://openalex.org/W2194775991","https://openalex.org/W2336650964","https://openalex.org/W2523246573","https://openalex.org/W2618530766","https://openalex.org/W2744999500","https://openalex.org/W2750384547","https://openalex.org/W2774000609","https://openalex.org/W2782985982","https://openalex.org/W2807006176","https://openalex.org/W2884711234","https://openalex.org/W2903471046","https://openalex.org/W2912213068","https://openalex.org/W2921434559","https://openalex.org/W2936343019","https://openalex.org/W2947198853","https://openalex.org/W2955213239","https://openalex.org/W2962696932","https://openalex.org/W2963959597","https://openalex.org/W2981298997","https://openalex.org/W2995022099","https://openalex.org/W3037871107","https://openalex.org/W3038022836","https://openalex.org/W3038028469","https://openalex.org/W3118608800","https://openalex.org/W3209696639","https://openalex.org/W4295237216","https://openalex.org/W4300428694","https://openalex.org/W6674593956","https://openalex.org/W6679154944","https://openalex.org/W6679314259","https://openalex.org/W6679393576","https://openalex.org/W6679795937","https://openalex.org/W6682244129","https://openalex.org/W6683722107","https://openalex.org/W6684249991","https://openalex.org/W6684859321","https://openalex.org/W6686509673","https://openalex.org/W6692488971","https://openalex.org/W6703420464","https://openalex.org/W6726983090","https://openalex.org/W6727249380","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6739554518","https://openalex.org/W6742061381","https://openalex.org/W6743688258","https://openalex.org/W6746839373","https://openalex.org/W6752029299","https://openalex.org/W6753209298","https://openalex.org/W6756054015","https://openalex.org/W6757139170","https://openalex.org/W6758557334","https://openalex.org/W6759226220","https://openalex.org/W6759238902","https://openalex.org/W6760214840","https://openalex.org/W6762930437","https://openalex.org/W6765541894","https://openalex.org/W6765843025","https://openalex.org/W6765979255","https://openalex.org/W6769627709","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W3107602296","https://openalex.org/W4312192474","https://openalex.org/W4210805261","https://openalex.org/W4387297750"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"serves":[3],"privacy-preserving":[4],"collaborative":[5],"learning":[6],"among":[7],"multiple":[8],"isolated":[9,69],"parties,":[10],"while":[11],"retaining":[12],"their":[13],"privacy":[14],"data":[15,53,75],"locally.":[16],"Cross-device":[17],"and":[18,77,131,139,146,165,186,199],"cross-silo":[19],"FL":[20,66],"have":[21],"achieved":[22],"great":[23,179],"success":[24],"in":[25,28,67,72,195],"cross-domain":[26],"applications,":[27],"which":[29,68,104],"the":[30,35,40,73,82,87,113,126,141,189],"scarce":[31],"communication":[32,147],"resource":[33],"is":[34],"primary":[36,83],"bottleneck.":[37,84],"Driven":[38],"by":[39,91],"need":[41],"to":[42,49,107,153],"combine":[43],"heterogeneous":[44],"machines":[45],"from":[46],"different":[47,109],"parties":[48,70,106],"build":[50],"a":[51,62,116],"shared":[52,74],"center,":[54,76],"we":[55],"found":[56],"<italic":[57,100,119,135,155,175,192],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[58,101,120,136,156,176,193],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">intra-domain":[59],"FL</i>":[60],",":[61,103,138],"new":[63],"type":[64],"of":[65,115,128,134,184,191],"collaborate":[71],"strong":[78,168],"computational":[79,169],"heterogeneity":[80],"becomes":[81],"To":[85],"mitigate":[86],"training":[88,197],"inefficiency":[89],"caused":[90],"stragglers,":[92],"this":[93],"article":[94],"proposes":[95],"an":[96],"efficient":[97],"synchronization":[98],"algorithm":[99],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">ESync</i>":[102,137,157,177,194],"allows":[105],"train":[108],"iterations":[110],"locally":[111],"under":[112,167],"coordination":[114],"novel":[117],"scheduler":[118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">State":[121],"Server</i>":[122],".":[123],"We":[124],"give":[125],"boundaries":[127],"weight":[129],"divergence":[130],"optimality":[132],"gap":[133],"analyze":[140],"trade-off":[142],"between":[143],"convergence":[144],"accuracy":[145],"efficiency.":[148],"Extensive":[149],"experiments":[150],"are":[151],"conducted":[152],"compare":[154],"with":[158],"SSGD,":[159],"ASGD,":[160],"DC-ASGD,":[161],"FedAvg,":[162],"FedAsync,":[163],"TiFL,":[164],"FedDrop":[166],"heterogeneity.":[170],"Numerical":[171],"results":[172],"show":[173],"that":[174],"achieves":[178],"speed":[180],"up":[181],"without":[182],"loss":[183],"accuracy,":[185],"therefore":[187],"demonstrate":[188],"effectiveness":[190],"both":[196],"efficiency":[198],"converged":[200],"accuracy.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}