{"id":"https://openalex.org/W4283833110","doi":"https://doi.org/10.1109/iwqos54832.2022.9812907","title":"FedSyL: Computation-Efficient Federated Synergy Learning on Heterogeneous IoT Devices","display_name":"FedSyL: Computation-Efficient Federated Synergy Learning on Heterogeneous IoT Devices","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4283833110","doi":"https://doi.org/10.1109/iwqos54832.2022.9812907"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos54832.2022.9812907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos54832.2022.9812907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-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/A5101454723","display_name":"Hui Jiang","orcid":"https://orcid.org/0000-0003-4062-7206"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Jiang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China","Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343939","display_name":"Min Liu","orcid":"https://orcid.org/0000-0003-2824-9601"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Liu","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China","University of Chinese Academy of Sciences, Beijing, China","Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012804259","display_name":"Sheng Sun","orcid":"https://orcid.org/0000-0002-0260-2692"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Sun","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China","Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402320","display_name":"Yuwei Wang","orcid":"https://orcid.org/0000-0001-8099-8445"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwei Wang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China","Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100517655","display_name":"Xiaobing Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobing Guo","raw_affiliation_strings":["Lenovo Research,China","Lenovo Research, China"],"affiliations":[{"raw_affiliation_string":"Lenovo Research,China","institution_ids":["https://openalex.org/I4210156165"]},{"raw_affiliation_string":"Lenovo Research, China","institution_ids":["https://openalex.org/I4210156165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101454723"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":2.3872,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.90165592,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9847999811172485,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8286079168319702},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.780585765838623},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.7525277733802795},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5201109647750854},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5133287310600281},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5066414475440979},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5024538040161133},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4579890966415405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43028175830841064},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41387248039245605},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4135254919528961},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3890253007411957},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3254650831222534},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.250683069229126},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.14831730723381042},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10267230868339539},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09210187196731567}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8286079168319702},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.780585765838623},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.7525277733802795},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5201109647750854},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5133287310600281},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5066414475440979},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5024538040161133},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4579890966415405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43028175830841064},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41387248039245605},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4135254919528961},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3890253007411957},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3254650831222534},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.250683069229126},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.14831730723381042},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10267230868339539},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09210187196731567},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos54832.2022.9812907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos54832.2022.9812907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2112796928","https://openalex.org/W2163605009","https://openalex.org/W2530417694","https://openalex.org/W2912213068","https://openalex.org/W2919115771","https://openalex.org/W2920095265","https://openalex.org/W2921980263","https://openalex.org/W2950865323","https://openalex.org/W2963125010","https://openalex.org/W2963209930","https://openalex.org/W2963318081","https://openalex.org/W2982464076","https://openalex.org/W3043820882","https://openalex.org/W3047304572","https://openalex.org/W3090393599","https://openalex.org/W3091436593","https://openalex.org/W3109503640","https://openalex.org/W3118608800","https://openalex.org/W3176501042","https://openalex.org/W3182125009","https://openalex.org/W3182828306","https://openalex.org/W4287812080","https://openalex.org/W4289147263","https://openalex.org/W4297775537","https://openalex.org/W4297853509","https://openalex.org/W4318619660","https://openalex.org/W6684191040","https://openalex.org/W6728757088","https://openalex.org/W6737664043","https://openalex.org/W6756436328","https://openalex.org/W6768255988","https://openalex.org/W6775817643","https://openalex.org/W6783533280","https://openalex.org/W6787972765","https://openalex.org/W6798906670"],"related_works":["https://openalex.org/W3154796165","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4312996489"],"abstract_inverted_index":{"As":[0],"a":[1,113,122,147,194],"popular":[2],"privacy-preserving":[3],"model":[4,37,53,87,165],"training":[5,38,125,139,143,149,209],"technique,":[6],"Federated":[7,114],"Learning":[8,116],"(FL)":[9],"enables":[10],"multiple":[11,198],"end-devices":[12,32,85,99],"to":[13,27,56,70,83,181],"collaboratively":[14],"train":[15],"Deep":[16],"Neural":[17],"Network":[18],"(DNN)":[19],"models":[20],"without":[21],"exposing":[22],"local":[23,138],"privately-owned":[24],"data.":[25],"According":[26],"the":[28,43,57,72,80,95,102,133,137,155,163,169,204],"FL":[29,63],"paradigm,":[30],"resource-constrained":[31],"in":[33,86],"IoT":[34],"should":[35],"perform":[36],"which":[39,119],"is":[40,64],"computation-intensive,":[41],"whereas":[42],"edge":[44,81],"server":[45,82],"occupied":[46],"with":[47,168],"powerful":[48],"computation":[49,60,73,96,175],"capability":[50],"only":[51],"performs":[52],"aggregation.":[54],"Due":[55],"above":[58],"unbalanced":[59],"pattern,":[61],"IoT-oriented":[62],"time-consuming":[65],"and":[66,127,141,145,174,211],"inefficient.":[67],"In":[68],"order":[69],"alleviate":[71],"burden":[74],"of":[75,105,171,177,206],"end-devices,":[76,178],"recent":[77],"countermeasures":[78],"introduce":[79],"assist":[84],"training.":[88],"However,":[89],"existing":[90],"works":[91],"neither":[92],"efficiently":[93],"address":[94],"heterogeneity":[97,176],"across":[98],"nor":[100],"reduce":[101],"leakage":[103,129],"risk":[104],"data":[106,128],"privacy.":[107],"To":[108],"this":[109],"end,":[110],"we":[111,161],"propose":[112],"Synergy":[115],"(FedSyL)":[117],"paradigm":[118],"innovatively":[120],"strikes":[121],"balance":[123],"between":[124,136],"efficiency":[126,210],"risk.":[130],"We":[131,190],"explore":[132],"complicated":[134],"relationship":[135],"latency":[140,150],"multi-dimensional":[142],"configurations,":[144],"design":[146,162],"uniform":[148],"prediction":[151],"method":[152],"by":[153],"applying":[154],"polynomial":[156],"quadratic":[157],"regression":[158],"analysis.":[159],"Additionally,":[160],"optimal":[164],"offloading":[166],"strategy":[167],"consideration":[170],"resource":[172],"limitation":[173],"so":[179],"as":[180],"accurately":[182],"assign":[183],"capability=matched":[184],"device-side":[185],"sub-models":[186],"for":[187],"heterogeneous":[188,199],"end-devices.":[189,200],"implement":[191],"FedSyL":[192,207],"on":[193,208],"real":[195],"test-bed":[196],"comprising":[197],"Experimental":[201],"results":[202],"demonstrate":[203],"superiority":[205],"privacy":[212],"protection.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}