{"id":"https://openalex.org/W4210450442","doi":"https://doi.org/10.1109/globecom46510.2021.9685861","title":"Knowledge Caching for Federated Learning","display_name":"Knowledge Caching for Federated Learning","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210450442","doi":"https://doi.org/10.1109/globecom46510.2021.9685861"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685861","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/A5029907412","display_name":"Xinying Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Xin-Ying Zheng","raw_affiliation_strings":["Institute of Communications Engineering, National Tsing Hua University,Hsinchu,Taiwan","Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087910220","display_name":"Ming\u2010Chun Lee","orcid":"https://orcid.org/0000-0002-3493-3998"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Chun Lee","raw_affiliation_strings":["Institute of Communications Engineering, National Chiao Tung University,Hsinchu,Taiwan","Institute of Communications Engineering, National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Chiao Tung University,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Institute of Communications Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009791512","display_name":"Y.-W. Peter Hong","orcid":"https://orcid.org/0000-0001-7043-8276"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Y.-W. Peter Hong","raw_affiliation_strings":["Institute of Communications Engineering, National Tsing Hua University,Hsinchu,Taiwan","Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029907412"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.2513,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.53570761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"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":0.9998999834060669,"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/T11478","display_name":"Caching and Content Delivery","score":0.9987999796867371,"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/T10237","display_name":"Cryptography and Data Security","score":0.9983999729156494,"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":0.8359619379043579},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5291048884391785},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.36963969469070435},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.36529484391212463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2680577039718628}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8359619379043579},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5291048884391785},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.36963969469070435},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.36529484391212463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2680577039718628}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685861","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":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[{"id":"https://openalex.org/G8796444103","display_name":null,"funder_award_id":"MOST 110-2634-F-007-021,110-2224-E-A49-001,110-2222-E-A49-006","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W159308319","https://openalex.org/W2564103961","https://openalex.org/W2742716754","https://openalex.org/W2890928060","https://openalex.org/W2913318911","https://openalex.org/W2920095265","https://openalex.org/W2963318081","https://openalex.org/W2963622574","https://openalex.org/W3027654211","https://openalex.org/W3045027907","https://openalex.org/W3111182214","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6773077378"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4298221930","https://openalex.org/W2390279801","https://openalex.org/W2777914285","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3013363440"],"abstract_inverted_index":{"This":[0],"work":[1],"examines":[2],"a":[3,135,145],"novel":[4],"wireless":[5,77,121],"content":[6],"distribution":[7],"problem":[8,140,195],"where":[9],"machine":[10,83],"learning":[11,38,84],"models":[12,33,48,85,186],"(e.g.,":[13],"deep":[14],"neural":[15],"networks)":[16],"are":[17,34],"cached":[18,179],"at":[19,100],"local":[20,42,149],"small":[21],"cell":[22],"base-stations":[23],"to":[24,44,112,133,143,153,187,215],"facilitate":[25],"access":[26],"by":[27,36,65,189],"users":[28,43,68,102],"within":[29],"their":[30,50,71,104],"coverage.":[31],"The":[32,139],"trained":[35],"federated":[37],"procedures":[39],"which":[40],"allow":[41],"collaboratively":[45],"train":[46],"the":[47,55,59,80,91,97,101,115,130,156,160,166,173,184,198,205],"using":[49],"locally":[51],"stored":[52],"data.":[53],"Upon":[54],"completion":[56],"of":[57,82,129,148],"training,":[58],"model":[60],"can":[61,208],"also":[62,95],"be":[63],"accessed":[64],"all":[66],"other":[67],"depending":[69],"on":[70,90,96,155],"application":[72],"demand.":[73],"Different":[74],"from":[75],"conventional":[76],"caching":[78,116,219],"problems,":[79],"placement":[81],"should":[86],"depend":[87],"not":[88],"only":[89],"users&#x0027;":[92],"preferences":[93],"but":[94],"data":[98],"available":[99],"and":[103,120,127,162,165,217],"channel":[105],"conditions.":[106],"In":[107],"this":[108],"work,":[109],"we":[110],"propose":[111],"jointly":[113],"optimize":[114],"decision,":[117],"user":[118],"selection,":[119],"resource":[122],"allocation,":[123],"including":[124],"transmit":[125],"powers":[126],"bandwidth":[128],"selected":[131],"users,":[132],"minimize":[134],"training":[136],"error":[137,212],"bound.":[138],"is":[141],"reduced":[142],"minimizing":[144],"weighted":[146],"sum":[147],"dataset":[150],"sizes":[151],"subject":[152],"constraints":[154],"cache":[157,188],"storage":[158],"capacity,":[159],"communication":[161],"computation":[163],"latency,":[164],"total":[167,199],"energy":[168],"consumption.":[169],"We":[170],"first":[171],"derive":[172],"minimum":[174],"loss":[175],"achievable":[176],"for":[177],"each":[178],"model,":[180],"and,":[181],"then,":[182],"determine":[183],"optimal":[185],"solving":[190],"an":[191],"equivalent":[192],"0&#x2013;1":[193],"Knapsack":[194],"that":[196,204],"minimizes":[197],"average":[200],"loss.":[201],"Simulations":[202],"show":[203],"proposed":[206],"scheme":[207],"achieve":[209],"lower":[210],"extremity":[211],"bounds":[213],"compared":[214],"preference-only":[216],"random":[218],"policies.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
