{"id":"https://openalex.org/W4210268585","doi":"https://doi.org/10.1109/globecom46510.2021.9685242","title":"Privacy-Preserving Federated Reinforcement Learning for Popularity-Assisted Edge Caching","display_name":"Privacy-Preserving Federated Reinforcement Learning for Popularity-Assisted Edge Caching","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210268585","doi":"https://doi.org/10.1109/globecom46510.2021.9685242"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685242","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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/A5073480661","display_name":"Chong Zheng","orcid":"https://orcid.org/0000-0001-6893-3438"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["CN","SG"],"is_corresponding":true,"raw_author_name":"Chong Zheng","raw_affiliation_strings":["Information System Technology and Design Pillar, Singapore University of Technology and Design, Singapore","Purple Mountain Laboratories, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Information System Technology and Design Pillar, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053773849","display_name":"Shengheng Liu","orcid":"https://orcid.org/0000-0001-6579-9798"},"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"]},{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengheng Liu","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","Purple Mountain Laboratories, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056225611","display_name":"Yongming Huang","orcid":"https://orcid.org/0009-0009-2545-2875"},"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"]},{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongming Huang","raw_affiliation_strings":["National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","Purple Mountain Laboratories, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"National Mobile Communications Research Laboratory, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030858163","display_name":"Tony Q. S. Quek","orcid":"https://orcid.org/0000-0002-4037-3149"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tony Q. S. Quek","raw_affiliation_strings":["Information System Technology and Design Pillar, Singapore University of Technology and Design, Singapore"],"affiliations":[{"raw_affiliation_string":"Information System Technology and Design Pillar, Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073480661"],"corresponding_institution_ids":["https://openalex.org/I152815399","https://openalex.org/I4210155350"],"apc_list":null,"apc_paid":null,"fwci":1.54,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81537696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9998999834060669,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9904999732971191,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9824000000953674,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8565400838851929},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7638564109802246},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6617040634155273},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.650536835193634},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5588421821594238},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5565205812454224},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.49189114570617676},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.49156102538108826},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4829939603805542},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4649207890033722},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4636147618293762},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.41549211740493774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3883722424507141},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24669301509857178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8565400838851929},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7638564109802246},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6617040634155273},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.650536835193634},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5588421821594238},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5565205812454224},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49189114570617676},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.49156102538108826},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4829939603805542},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4649207890033722},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4636147618293762},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.41549211740493774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3883722424507141},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24669301509857178},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685242","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G5540418478","display_name":null,"funder_award_id":"2018YFB1800801","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2100495367","https://openalex.org/W2258533367","https://openalex.org/W2415391790","https://openalex.org/W2746390786","https://openalex.org/W2900490252","https://openalex.org/W2950471160","https://openalex.org/W2963329985","https://openalex.org/W2963360527","https://openalex.org/W2963670497","https://openalex.org/W2990774343","https://openalex.org/W3033988836","https://openalex.org/W3034677867","https://openalex.org/W3036529997","https://openalex.org/W3184448820","https://openalex.org/W3203789000","https://openalex.org/W6631190155","https://openalex.org/W6696324988"],"related_works":["https://openalex.org/W3096874164","https://openalex.org/W2937181779","https://openalex.org/W2386410636","https://openalex.org/W1985560493","https://openalex.org/W2357975469","https://openalex.org/W2145363145","https://openalex.org/W1626977535","https://openalex.org/W2341346307","https://openalex.org/W3168977894","https://openalex.org/W4322761281"],"abstract_inverted_index":{"In":[0],"this":[1,47],"paper,":[2],"we":[3,49],"investigate":[4],"the":[5,28,34,43,51,60,80,103,112,118,121,133],"problem":[6,90],"of":[7,53,120,126],"edge":[8,17],"caching":[9,40],"(EC)":[10],"optimization":[11,89],"in":[12,42,124],"a":[13,95],"multi-user":[14],"privacy-preserving":[15,84,104],"mobile":[16],"computing":[18],"(MEC)":[19],"system.":[20],"The":[21,86],"time-varying":[22,61],"content":[23],"popularity":[24],"is":[25,31,76,91],"considered":[26],"and":[27,55,58,100,129],"primary":[29],"objective":[30],"to":[32,78],"maximize":[33],"EC":[35],"hit":[36,130],"rate":[37,131],"on":[38],"each":[39],"entity":[41],"distributed":[44,88,96,105],"network.":[45],"To":[46],"end,":[48],"introduce":[50],"concept":[52],"local":[54,62],"global":[56],"popularities":[57,63,81],"cast":[59],"as":[64,94],"model-free":[65],"Markov":[66,97],"chains.":[67],"Next,":[68],"an":[69],"unsupervised":[70],"recurrent":[71],"federated":[72],"learning":[73],"(URFL)":[74],"algorithm":[75,110],"proposed":[77,122],"predict":[79],"while":[82],"achieving":[83],"goal.":[85],"underlying":[87],"then":[92],"reformulated":[93],"decision":[98],"process":[99],"solved":[101],"by":[102],"deep":[106],"deterministic":[107],"policy":[108],"gradient":[109],"incorporating":[111],"URFL":[113],"algorithm.":[114],"Simulation":[115],"results":[116],"demonstrate":[117],"superiority":[119],"scheme":[123],"terms":[125],"prediction":[127],"error":[128],"over":[132],"baseline":[134],"methods.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}