{"id":"https://openalex.org/W4378965902","doi":"https://doi.org/10.1109/tmc.2023.3268323","title":"Energy Efficient and Differentially Private Federated Learning via a Piggyback Approach","display_name":"Energy Efficient and Differentially Private Federated Learning via a Piggyback Approach","publication_year":2023,"publication_date":"2023-05-30","ids":{"openalex":"https://openalex.org/W4378965902","doi":"https://doi.org/10.1109/tmc.2023.3268323"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2023.3268323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2023.3268323","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile 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/A5041076753","display_name":"Rui Chen","orcid":"https://orcid.org/0000-0002-1829-8330"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-1829-8330","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084116146","display_name":"Chenpei Huang","orcid":"https://orcid.org/0000-0002-0494-2631"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenpei Huang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-0494-2631","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091040593","display_name":"Xiaoqi Qin","orcid":"https://orcid.org/0000-0002-5788-0657"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqi Qin","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5788-0657","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008846998","display_name":"Nan Ma","orcid":"https://orcid.org/0000-0002-2302-7148"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Ma","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","Department of Broadband Communication, Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2302-7148","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Department of Broadband Communication, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047722991","display_name":"Miao Pan","orcid":"https://orcid.org/0000-0003-2138-4413"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miao Pan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA"],"raw_orcid":"https://orcid.org/0000-0003-2138-4413","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773343","display_name":"Xuemin Shen","orcid":"https://orcid.org/0000-0002-4140-287X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xuemin Shen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-4140-287X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4336,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8466167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"23","issue":"4","first_page":"2698","last_page":"2711"},"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9589999914169312,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9567000269889832,"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":0.8150123357772827},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.6025332808494568},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5661248564720154},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5358409285545349},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.47380369901657104},{"id":"https://openalex.org/keywords/artificial-noise","display_name":"Artificial noise","score":0.4609132409095764},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.44834771752357483},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.42319634556770325},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41941386461257935},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.26569515466690063},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.19336044788360596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17398199439048767},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09048131108283997}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8150123357772827},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6025332808494568},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5661248564720154},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5358409285545349},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.47380369901657104},{"id":"https://openalex.org/C2780909371","wikidata":"https://www.wikidata.org/wiki/Q4801092","display_name":"Artificial noise","level":4,"score":0.4609132409095764},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.44834771752357483},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.42319634556770325},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41941386461257935},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.26569515466690063},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.19336044788360596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17398199439048767},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09048131108283997},{"id":"https://openalex.org/C19247436","wikidata":"https://www.wikidata.org/wiki/Q192727","display_name":"Physical layer","level":3,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2023.3268323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2023.3268323","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4050208279","display_name":null,"funder_award_id":"U22B2003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7313034354","display_name":"RAPID: Collaborative: Location Privacy Preserving COVID-19 Symptom Map Construction via Mobile Crowdsourcing for Proactive Constrained Resource Allocation","funder_award_id":"2029569","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1997988602","https://openalex.org/W2051267297","https://openalex.org/W2064054831","https://openalex.org/W2086867325","https://openalex.org/W2109426455","https://openalex.org/W2461943168","https://openalex.org/W2473418344","https://openalex.org/W2535690855","https://openalex.org/W2594311007","https://openalex.org/W2630997112","https://openalex.org/W2798720628","https://openalex.org/W2804268522","https://openalex.org/W2900182564","https://openalex.org/W2907943746","https://openalex.org/W2920095265","https://openalex.org/W2963378725","https://openalex.org/W2963470657","https://openalex.org/W2963514416","https://openalex.org/W2964162474","https://openalex.org/W2999074226","https://openalex.org/W3001299093","https://openalex.org/W3010530718","https://openalex.org/W3016632787","https://openalex.org/W3017256022","https://openalex.org/W3021654819","https://openalex.org/W3036275239","https://openalex.org/W3047304572","https://openalex.org/W3091890527","https://openalex.org/W3105122387","https://openalex.org/W3111192549","https://openalex.org/W3118874133","https://openalex.org/W3120984046","https://openalex.org/W3123581454","https://openalex.org/W3152952112","https://openalex.org/W3155912831","https://openalex.org/W3159080474","https://openalex.org/W3175937530","https://openalex.org/W3189193281","https://openalex.org/W3192357745","https://openalex.org/W3203616663","https://openalex.org/W3216712149","https://openalex.org/W4205228770","https://openalex.org/W4250589301","https://openalex.org/W4287777881","https://openalex.org/W4287822453","https://openalex.org/W4313003510","https://openalex.org/W4320005471","https://openalex.org/W6677580257","https://openalex.org/W6728757088","https://openalex.org/W6746200960","https://openalex.org/W6751754709","https://openalex.org/W6754416507","https://openalex.org/W6757624917","https://openalex.org/W6763138067","https://openalex.org/W6765541894","https://openalex.org/W6768511045","https://openalex.org/W6774481906","https://openalex.org/W6775563089","https://openalex.org/W6777781769"],"related_works":["https://openalex.org/W1990534671","https://openalex.org/W2067356597","https://openalex.org/W2923284750","https://openalex.org/W2078870110","https://openalex.org/W4300865491","https://openalex.org/W2056643192","https://openalex.org/W4293329433","https://openalex.org/W2073516681","https://openalex.org/W4206120933","https://openalex.org/W4378965902"],"abstract_inverted_index":{"This":[0],"artilce":[1],"aims":[2],"to":[3,43,60,80],"develop":[4,81],"a":[5,82],"differential":[6,45],"private":[7],"federated":[8],"learning":[9],"(FL)":[10],"scheme":[11,179],"with":[12,92],"the":[13,20,37,44,93,174,177],"least":[14],"artificial":[15,160],"noises":[16,75],"added":[17],"while":[18],"minimizing":[19],"energy":[21,116,136,183],"consumption":[22],"of":[23,39,49,117,176,182],"participating":[24],"mobile":[25,53,89,118],"devices.":[26,90],"By":[27],"observing":[28],"that":[29],"some":[30],"communication":[31],"efficient":[32,137,153],"FL":[33,87,109,131,138,146],"approaches":[34],"and":[35,69,71,103,123,133,145,163,170,185],"even":[36],"nature":[38],"wireless":[40,78],"communications":[41],"contribute":[42],"privacy":[46,186],"(DP)":[47],"preservation":[48],"training":[50],"data":[51],"on":[52],"devices,":[54],"in":[55,77,112,180],"this":[56],"paper,":[57],"we":[58,128,150],"propose":[59,151],"jointly":[61],"leverage":[62],"gradient":[63,67,101],"compression":[64,102],"techniques":[65],"(i.e.,":[66],"quantization":[68],"sparsification)":[70],"additive":[72],"white":[73],"Gaussian":[74],"(AWGN)":[76],"channels":[79],"piggyback":[83,94,141],"DP":[84,95,161],"approach":[85],"for":[86,120,159],"over":[88],"Even":[91],"approach,":[96],"information":[97],"distortion":[98],"caused":[99],"by":[100],"noise":[104,162],"perturbation":[105],"may":[106],"slow":[107],"down":[108],"convergence,":[110],"which":[111],"turn":[113],"consumes":[114],"more":[115],"devices":[119],"local":[121],"computing":[122],"model":[124],"update":[125],"communications.":[126],"Thus,":[127],"theoretically":[129],"analyze":[130],"convergence":[132,147],"formulate":[134],"an":[135,152],"optimization":[139],"under":[140],"DP,":[142],"transmission":[143],"power,":[144],"constraints.":[148],"Furthermore,":[149],"iterative":[154],"algorithm":[155],"where":[156],"closed-form":[157],"solutions":[158],"power":[164],"control":[165],"are":[166],"derived.":[167],"Extensive":[168],"simulation":[169],"experimental":[171],"results":[172],"demonstrate":[173],"effectiveness":[175],"proposed":[178],"terms":[181],"efficiency":[184],"preservation.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
