{"id":"https://openalex.org/W4220816158","doi":"https://doi.org/10.1145/3522741","title":"An Energy-efficient and Privacy-aware Decomposition Framework for Edge-assisted Federated Learning","display_name":"An Energy-efficient and Privacy-aware Decomposition Framework for Edge-assisted Federated Learning","publication_year":2022,"publication_date":"2022-03-25","ids":{"openalex":"https://openalex.org/W4220816158","doi":"https://doi.org/10.1145/3522741"},"language":"en","primary_location":{"id":"doi:10.1145/3522741","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3522741","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","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/A5078262237","display_name":"Yimin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Shi","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen and Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen and Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068512767","display_name":"Haihan Duan","orcid":"https://orcid.org/0000-0001-6438-3790"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haihan Duan","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen and Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen and Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050067325","display_name":"Lei Yang","orcid":"https://orcid.org/0000-0002-8732-3675"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053432286","display_name":"Wei Cai","orcid":"https://orcid.org/0000-0002-4658-0034"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Cai","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen and Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-4658-0034","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen and Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9711,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79004893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"18","issue":"4","first_page":"1","last_page":"24"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9641000032424927,"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"}},{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9607999920845032,"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":0.8992108106613159},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.6433640718460083},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6081311702728271},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.5570183396339417},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.49951863288879395},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.48267772793769836},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.4538581967353821},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43309780955314636},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4101468324661255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3205055296421051},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.28858792781829834},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2666173577308655},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17223873734474182}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8992108106613159},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.6433640718460083},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6081311702728271},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.5570183396339417},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.49951863288879395},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.48267772793769836},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.4538581967353821},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43309780955314636},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4101468324661255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3205055296421051},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28858792781829834},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2666173577308655},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17223873734474182},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3522741","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3522741","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G8848263414","display_name":null,"funder_award_id":"61902333, 61972161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2051267297","https://openalex.org/W2081497720","https://openalex.org/W2190008860","https://openalex.org/W2591882872","https://openalex.org/W2596378825","https://openalex.org/W2707890836","https://openalex.org/W2798720628","https://openalex.org/W2807147113","https://openalex.org/W2809414288","https://openalex.org/W2901299405","https://openalex.org/W2919115771","https://openalex.org/W2920095265","https://openalex.org/W2948271276","https://openalex.org/W2963318081","https://openalex.org/W2964162474","https://openalex.org/W2965302537","https://openalex.org/W2970408908","https://openalex.org/W2977090839","https://openalex.org/W2991040477","https://openalex.org/W2991236681","https://openalex.org/W3016510059","https://openalex.org/W3035616549","https://openalex.org/W3089796360","https://openalex.org/W3094163844","https://openalex.org/W3101073882","https://openalex.org/W3105122387","https://openalex.org/W3110777925","https://openalex.org/W3132107458","https://openalex.org/W3175192640","https://openalex.org/W3209696639","https://openalex.org/W4293775467","https://openalex.org/W4297853509"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2734500670","https://openalex.org/W2558166297","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W4389670110","https://openalex.org/W2187546663","https://openalex.org/W179829755"],"abstract_inverted_index":{"Deep":[0],"Learning":[1,30],"(DL)":[2],"is":[3],"an":[4,109],"essential":[5],"technology":[6],"for":[7,138],"modern":[8],"intelligent":[9],"sensor":[10],"network":[11],"and":[12,47,61,82,97,104,132,142,150,156],"interactive":[13],"multimedia":[14],"applications,":[15],"having":[16],"problems":[17,41],"with":[18,74],"user":[19,35,44],"data":[20],"privacy":[21,72,103,129,135,161],"when":[22],"training":[23,48,117,166],"on":[24,126,163],"a":[25,58],"central":[26],"cloud.":[27],"While":[28],"Federated":[29],"(FL)":[31],"motivates":[32],"to":[33,65,113],"preserve":[34],"privacy,":[36],"it":[37],"also":[38,107],"causes":[39],"new":[40],"of":[42,77,89,147,159],"lower":[43],"terminal":[45],"usability":[46],"efficiency,":[49],"which":[50,127],"caused":[51],"substantial":[52],"energy":[53],"consumption.":[54],"This":[55],"article":[56],"proposes":[57],"novel":[59],"energy-efficient":[60],"privacy-aware":[62],"decomposition":[63],"framework":[64,149],"improve":[66],"user-side":[67],"FL":[68,153],"efficiency":[69,154],"under":[70],"pre-defined":[71],"requirements":[73],"the":[75,87,94,99,115,145,157,164],"assistance":[76],"Mobile":[78],"Edge":[79],"Computing":[80],"(MEC)":[81],"Software":[83],"Decomposition.":[84],"It":[85],"takes":[86],"propagation":[88],"each":[90,139],"neural":[91],"layer":[92],"as":[93],"migrating":[95],"unit":[96],"considers":[98],"tradeoff":[100],"relationship":[101],"between":[102],"efficiency.":[105,167],"We":[106],"propose":[108],"online":[110],"scheduling":[111],"algorithm":[112,151],"optimize":[114],"framework\u2019s":[116],"performance.":[118],"Furthermore,":[119],"we":[120],"summarize":[121],"eight":[122],"privacy-sensitive":[123],"information":[124],"classes":[125],"existing":[128],"attacks":[130],"base":[131],"design":[133],"configurable":[134],"preservation":[136],"mechanisms":[137],"class.":[140],"Simulations":[141],"experiments":[143],"prove":[144],"effectiveness":[146],"our":[148],"in":[152],"improvement":[155],"effects":[158],"different":[160],"constraints":[162],"overall":[165]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}