{"id":"https://openalex.org/W4392377456","doi":"https://doi.org/10.1145/3651168","title":"Communication-Efficient Federated Neural Collaborative Filtering with Multi-Armed Bandits","display_name":"Communication-Efficient Federated Neural Collaborative Filtering with Multi-Armed Bandits","publication_year":2024,"publication_date":"2024-03-04","ids":{"openalex":"https://openalex.org/W4392377456","doi":"https://doi.org/10.1145/3651168"},"language":"en","primary_location":{"id":"doi:10.1145/3651168","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3651168","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3651168","source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"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 Recommender Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3651168","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078153506","display_name":"Waqar Ali","orcid":"https://orcid.org/0000-0003-0846-7281"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210131342","display_name":"Yibin University","ror":"https://ror.org/03w8m2977","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131342"]},{"id":"https://openalex.org/I4210131846","display_name":"Artificial Intelligence Research Institute","ror":"https://ror.org/03c0ach84","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210131846"]}],"countries":["CN","ES"],"is_corresponding":true,"raw_author_name":"Waqar Ali","raw_affiliation_strings":["Sichuan Artificial Intelligence Research Institute","Yibin Park, University of Electronic Science and Technology of China","Sichuan Artificial Intelligence Research Institute, Yibin, China Yibin Park, University of Electronic Science and Technology of China, Yibin, China"],"affiliations":[{"raw_affiliation_string":"Sichuan Artificial Intelligence Research Institute","institution_ids":["https://openalex.org/I4210131846"]},{"raw_affiliation_string":"Yibin Park, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I4210131342"]},{"raw_affiliation_string":"Sichuan Artificial Intelligence Research Institute, Yibin, China Yibin Park, University of Electronic Science and Technology of China, Yibin, China","institution_ids":["https://openalex.org/I4210131342","https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051333340","display_name":"Muhammad Ammad-ud-din","orcid":"https://orcid.org/0009-0001-4464-5295"},"institutions":[{"id":"https://openalex.org/I67171562","display_name":"Yara (Norway)","ror":"https://ror.org/018fdr531","country_code":"NO","type":"company","lineage":["https://openalex.org/I67171562"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Muhammad Ammad-Ud-Din","raw_affiliation_strings":["Comparables.ai Oy","Comparables.ai Oy, Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Comparables.ai Oy","institution_ids":["https://openalex.org/I67171562"]},{"raw_affiliation_string":"Comparables.ai Oy, Helsinki, Finland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024298278","display_name":"Xiangmin Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095297","display_name":"MIT University","ror":"https://ror.org/00v140q16","country_code":"MK","type":"education","lineage":["https://openalex.org/I4210095297"]},{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU","MK"],"is_corresponding":false,"raw_author_name":"Xiangmin Zhou","raw_affiliation_strings":["RMIT University","School of Computing Technologies, RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University","institution_ids":["https://openalex.org/I4210095297","https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Computing Technologies, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456377","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0003-1585-0801"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China","University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072350518","display_name":"Jie Shao","orcid":"https://orcid.org/0000-0003-2615-1555"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210131846","display_name":"Artificial Intelligence Research Institute","ror":"https://ror.org/03c0ach84","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210131846"]}],"countries":["CN","ES"],"is_corresponding":false,"raw_author_name":"Jie Shao","raw_affiliation_strings":["Sichuan Artificial Intelligence Research Institute","University of Electronic Science and Technology of China","University of Electronic Science and Technology of China, Chengdu, China Sichuan Artificial Intelligence Research Institute, Yibin, China"],"affiliations":[{"raw_affiliation_string":"Sichuan Artificial Intelligence Research Institute","institution_ids":["https://openalex.org/I4210131846"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China Sichuan Artificial Intelligence Research Institute, Yibin, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078153506"],"corresponding_institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210131342","https://openalex.org/I4210131846"],"apc_list":null,"apc_paid":null,"fwci":4.0712,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94281081,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"4","issue":"1","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9988999962806702,"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":0.9988999962806702,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social 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":0.6763510704040527},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4597262740135193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4524688422679901},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24639040231704712},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.10727578401565552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6763510704040527},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4597262740135193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4524688422679901},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24639040231704712},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.10727578401565552}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3651168","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3651168","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3651168","source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"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 Recommender Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3651168","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3651168","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3651168","source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"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 Recommender Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1882737025","display_name":null,"funder_award_id":"62276047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392377456.pdf","grobid_xml":"https://content.openalex.org/works/W4392377456.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1986767499","https://openalex.org/W2001319506","https://openalex.org/W2020669710","https://openalex.org/W2080320419","https://openalex.org/W2283463896","https://openalex.org/W2417906089","https://openalex.org/W2493343568","https://openalex.org/W2530417694","https://openalex.org/W2535838896","https://openalex.org/W2560674852","https://openalex.org/W2605350416","https://openalex.org/W2766806202","https://openalex.org/W2811423811","https://openalex.org/W2912213068","https://openalex.org/W2913777072","https://openalex.org/W2966934727","https://openalex.org/W2969648982","https://openalex.org/W2972733003","https://openalex.org/W2977914701","https://openalex.org/W3034790665","https://openalex.org/W3035454601","https://openalex.org/W3044796230","https://openalex.org/W3083748269","https://openalex.org/W3086156262","https://openalex.org/W3093828967","https://openalex.org/W3097216016","https://openalex.org/W3151901001","https://openalex.org/W3158301207","https://openalex.org/W3176364684","https://openalex.org/W3178746453","https://openalex.org/W3183374782","https://openalex.org/W3185162399","https://openalex.org/W3185693672","https://openalex.org/W3194176879","https://openalex.org/W3199197205","https://openalex.org/W3205970722","https://openalex.org/W3211040691","https://openalex.org/W3211363347","https://openalex.org/W3216652988","https://openalex.org/W3217297494","https://openalex.org/W4210623832","https://openalex.org/W4213390626","https://openalex.org/W4224926669","https://openalex.org/W4226307069","https://openalex.org/W4226493408","https://openalex.org/W4283466101","https://openalex.org/W4285015060","https://openalex.org/W4290945378","https://openalex.org/W4293452925","https://openalex.org/W4297687186","https://openalex.org/W4312083945","https://openalex.org/W4312191182","https://openalex.org/W4312221336","https://openalex.org/W4312396751","https://openalex.org/W4320001239","https://openalex.org/W4321521256"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2398165842","https://openalex.org/W197922276","https://openalex.org/W4226158052","https://openalex.org/W1809731386","https://openalex.org/W4388863299","https://openalex.org/W2160332782","https://openalex.org/W2945818642"],"abstract_inverted_index":{"Federated":[0],"learning":[1,181],"(FL)":[2],"has":[3],"received":[4],"much":[5],"attention":[6],"in":[7,61,98,177],"privacy-preserving":[8],"and":[9],"responsible":[10],"recommender":[11,80],"systems.":[12,81],"Recent":[13],"studies":[14],"have":[15],"shown":[16],"promising":[17],"results":[18,193],"while":[19],"federating":[20],"widely":[21],"used":[22,114],"recommendation":[23,207],"methods":[24],"such":[25],"as":[26,56],"collaborative":[27,75,96,215],"filtering.":[28,216],"A":[29],"major":[30],"barrier":[31],"when":[32],"bringing":[33],"FL":[34,157,171],"into":[35],"production":[36],"is":[37,113,133,165],"that":[38,115,141,195],"the":[39,43,51,57,104,146,162,168,178,184,200,211],"model":[40,106,128,158],"complexity":[41,107],"or":[42],"volume":[44],"of":[45,59,121,126,145,161,199],"gradients":[46],"to":[47,83,102],"be":[48,150],"transmitted":[49,166],"over":[50,167],"communication":[52],"channel":[53],"grows":[54],"linearly":[55],"number":[58],"items":[60,164],"a":[62,72,109,118,136,153],"particular":[63,154],"system":[64],"increases.":[65],"To":[66],"address":[67],"this":[68],"challenge,":[69,108],"we":[70,92],"propose":[71],"communication-efficient":[73],"neural":[74,90,95,214],"filtering":[76,97],"method":[77,204],"for":[78,123,152],"federated":[79,99,127,180,213],"First,":[82],"align":[84],"our":[85,203],"solution":[86],"with":[87,210],"other":[88],"deep":[89],"architectures,":[91],"construct":[93],"standard":[94,212],"settings.":[100],"Second,":[101],"solve":[103],"underlying":[105],"multi-armed":[110],"bandit":[111],"framework":[112],"intelligently":[116],"selects":[117],"smaller":[119],"set":[120],"payloads":[122,148],"each":[124],"iteration":[125],"training.":[129],"The":[130,156,170,192],"item":[131],"selection":[132],"based":[134],"on":[135],"carefully":[137],"designed":[138],"reward":[139],"function":[140],"determines":[142],"which":[143],"portion":[144],"overall":[147],"would":[149],"optimal":[151],"user.":[155],"only":[159,197],"comprising":[160],"selected":[163],"network.":[169],"users":[172],"train":[173],"their":[174],"local":[175],"models":[176],"regular":[179],"way":[182],"utilizing":[183],"payload-efficient":[185],"global":[186],"model,":[187],"requiring":[188],"no":[189],"additional":[190],"optimizations.":[191],"show":[194],"using":[196],"10%":[198],"model\u2019s":[201],"payload,":[202],"can":[205],"achieve":[206],"performance":[208],"comparable":[209]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}