{"id":"https://openalex.org/W4376480668","doi":"https://doi.org/10.1109/wcnc55385.2023.10118906","title":"EAPS: Edge-Assisted Privacy-Preserving Federated Prediction Systems","display_name":"EAPS: Edge-Assisted Privacy-Preserving Federated Prediction Systems","publication_year":2023,"publication_date":"2023-03-01","ids":{"openalex":"https://openalex.org/W4376480668","doi":"https://doi.org/10.1109/wcnc55385.2023.10118906"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc55385.2023.10118906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc55385.2023.10118906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5025067597","display_name":"Daquan Feng","orcid":"https://orcid.org/0000-0002-0667-1150"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daquan Feng","raw_affiliation_strings":["Shenzhen University,Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication,Shenzhen,China","Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication,Shenzhen,China","institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102758581","display_name":"Guanxin Huang","orcid":"https://orcid.org/0000-0003-2531-5968"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanxin Huang","raw_affiliation_strings":["Shenzhen University,Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication,Shenzhen,China","Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication,Shenzhen,China","institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042844558","display_name":"Chenyuan Feng","orcid":"https://orcid.org/0000-0003-1758-9213"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyuan Feng","raw_affiliation_strings":["Shenzhen University,Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication,Shenzhen,China","Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication,Shenzhen,China","institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000734023","display_name":"Bin Cao","orcid":"https://orcid.org/0000-0001-8839-243X"},"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/I4392021250","display_name":"State Key Laboratory of Networking and Switching Technology","ror":"https://ror.org/00qtv5q45","country_code":null,"type":"facility","lineage":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Cao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I4392021250"]},{"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/A5100676553","display_name":"Zhenzhong Wang","orcid":"https://orcid.org/0000-0001-5953-1824"},"institutions":[{"id":"https://openalex.org/I4210101880","display_name":"Institute of Scientific and Technical Information","ror":"https://ror.org/0170b6c09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210101880","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhong Wang","raw_affiliation_strings":["China Media Group,Technical Management Center,Beijing,China","Technical Management Center, China Media Group, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Media Group,Technical Management Center,Beijing,China","institution_ids":["https://openalex.org/I4210101880"]},{"raw_affiliation_string":"Technical Management Center, China Media Group, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065367615","display_name":"Xiang\u2010Gen Xia","orcid":"https://orcid.org/0000-0002-5599-7683"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang-Gen Xia","raw_affiliation_strings":["University of Delaware,Department of Electrical and Computer Engineering,Newark,USA","Department of Electrical and Computer Engineering, University of Delaware, Newark, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Electrical and Computer Engineering,Newark,USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Delaware, Newark, USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6526,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73952564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9991000294685364,"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":0.9991000294685364,"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/T11478","display_name":"Caching and Content Delivery","score":0.9961000084877014,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.851905345916748},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7386707067489624},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5470384955406189},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.45910385251045227},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.45667195320129395},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.45351308584213257},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.44907620549201965},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4413122832775116},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43170422315597534},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3856487274169922},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3729723393917084},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3591650426387787},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22255587577819824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20884168148040771},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.09097367525100708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.851905345916748},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7386707067489624},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5470384955406189},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.45910385251045227},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.45667195320129395},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.45351308584213257},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.44907620549201965},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4413122832775116},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43170422315597534},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3856487274169922},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3729723393917084},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3591650426387787},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22255587577819824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20884168148040771},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.09097367525100708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc55385.2023.10118906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc55385.2023.10118906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2605350416","https://openalex.org/W2913777072","https://openalex.org/W2990000708","https://openalex.org/W3007345209","https://openalex.org/W3034667787","https://openalex.org/W3047789363","https://openalex.org/W3080710500","https://openalex.org/W3109094166","https://openalex.org/W3128515475","https://openalex.org/W6728757088","https://openalex.org/W6743821447","https://openalex.org/W6758813588","https://openalex.org/W6764838729","https://openalex.org/W6774120287","https://openalex.org/W6779005175"],"related_works":["https://openalex.org/W4286971788","https://openalex.org/W3199340467","https://openalex.org/W3157608626","https://openalex.org/W3132132958","https://openalex.org/W4321612632","https://openalex.org/W4322580403","https://openalex.org/W4399147128","https://openalex.org/W3193217249","https://openalex.org/W4280591108","https://openalex.org/W3021849752"],"abstract_inverted_index":{"To":[0,50,84],"reduce":[1],"the":[2,77,114,133,142,153,170,174,181],"delay":[3],"and":[4,24,44,74,100,112,127,192],"network":[5],"congestion":[6],"for":[7],"content":[8],"delivery":[9],"in":[10,36,58,187],"wireless":[11],"networks,":[12],"proactive":[13],"caching":[14,28,55],"scheme":[15,161],"has":[16],"attracted":[17],"lots":[18],"of":[19,144,183,189],"attentions":[20],"from":[21],"both":[22],"academia":[23],"industry.":[25],"However,":[26,68],"traditional":[27],"prediction":[29,56,91,190],"methods":[30],"require":[31],"to":[32,47,81,96,103,140,152,164,179],"collect":[33],"user":[34],"data":[35],"a":[37,59,65,88,105,149],"centralized":[38],"server,":[39],"which":[40],"is":[41,79,94,162],"becoming":[42],"unreliable":[43],"impractical":[45],"due":[46],"regulatory":[48],"restrictions.":[49],"circumvent":[51],"this":[52,86],"issue,":[53],"deploying":[54],"system":[57,92],"federated":[60,90],"learning":[61],"(FL)":[62],"fashion":[63],"becomes":[64],"promising":[66],"solution.":[67],"there":[69],"still":[70],"exist":[71],"privacy":[72,110,136],"risks,":[73],"even":[75],"worse,":[76],"FL":[78],"vulnerable":[80],"low-cost":[82],"attacks.":[83],"solve":[85],"problem,":[87],"novel":[89],"(FPS)":[93],"studied":[95],"provide":[97],"high":[98],"robustness":[99],"privacy.":[101],"Firstly,":[102],"keep":[104],"balance":[106],"between":[107],"further":[108],"enhancing":[109],"protection":[111,120],"alleviating":[113],"performance":[115],"degradation":[116],"caused":[117],"by":[118],"additional":[119],"schemes,":[121],"we":[122,147],"propose":[123],"an":[124,158],"edge-assisted,":[125],"robust":[126],"privacy-preserving":[128],"FPS":[129],"framework":[130],"based":[131],"on":[132],"local":[134,154],"differential":[135],"(LDP)":[137],"scheme.":[138],"Secondly,":[139],"mitigate":[141],"impact":[143],"heterogeneous":[145],"data,":[146],"add":[148],"regularization":[150],"term":[151],"loss":[155],"function.":[156],"Furthermore,":[157],"attention-based":[159],"aggregation":[160],"proposed":[163,185],"defend":[165],"against":[166],"Byzantine":[167],"attacks":[168],"during":[169],"training":[171],"process.":[172],"Finally,":[173],"experiment":[175],"results":[176],"are":[177],"provided":[178],"show":[180],"superiority":[182],"our":[184],"algorithm":[186],"terms":[188],"accuracy":[191],"robustness.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
