{"id":"https://openalex.org/W4404332174","doi":"https://doi.org/10.1145/3704267","title":"Efficient Federated Recommender System with Adaptive Model Pruning and Momentum-based Batch Adjustment","display_name":"Efficient Federated Recommender System with Adaptive Model Pruning and Momentum-based Batch Adjustment","publication_year":2024,"publication_date":"2024-11-13","ids":{"openalex":"https://openalex.org/W4404332174","doi":"https://doi.org/10.1145/3704267"},"language":"en","primary_location":{"id":"doi:10.1145/3704267","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704267","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704267","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/10.1145/3704267","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040192808","display_name":"Hongjian Shi","orcid":"https://orcid.org/0000-0003-0743-7806"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongjian Shi","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041344406","display_name":"Yicheng Di","orcid":"https://orcid.org/0000-0003-3802-2080"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicheng Di","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103081283","display_name":"Xinyu Ruan","orcid":"https://orcid.org/0009-0004-3017-3348"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Ruan","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112628012","display_name":"Mingrui Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106741","display_name":"Shanghai Aerospace Automobile Electromechanical (China)","ror":"https://ror.org/01dwnnm75","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210106741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingrui Liao","raw_affiliation_strings":["Aerospace System Engineering Shanghai, Shanghai China"],"affiliations":[{"raw_affiliation_string":"Aerospace System Engineering Shanghai, Shanghai China","institution_ids":["https://openalex.org/I4210106741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112752730","display_name":"Qian Zhang","orcid":"https://orcid.org/0009-0006-7712-9525"},"institutions":[{"id":"https://openalex.org/I4210106741","display_name":"Shanghai Aerospace Automobile Electromechanical (China)","ror":"https://ror.org/01dwnnm75","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210106741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["Aerospace System Engineering Shanghai, Shanghai China"],"affiliations":[{"raw_affiliation_string":"Aerospace System Engineering Shanghai, Shanghai China","institution_ids":["https://openalex.org/I4210106741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036789442","display_name":"Ruhui Ma","orcid":"https://orcid.org/0000-0001-9592-8490"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruhui Ma","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049487451","display_name":"Haibing Guan","orcid":"https://orcid.org/0000-0002-4714-7400"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibing Guan","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5040192808"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":3.4369,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.93770261,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"3","issue":"3","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9939000010490417,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9843999743461609,"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/recommender-system","display_name":"Recommender system","score":0.7252001762390137},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6705265045166016},{"id":"https://openalex.org/keywords/momentum","display_name":"Momentum (technical analysis)","score":0.5989828705787659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5750136375427246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3475416600704193},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27867087721824646},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.15133386850357056},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13732871413230896},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.10350525379180908}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7252001762390137},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6705265045166016},{"id":"https://openalex.org/C60718061","wikidata":"https://www.wikidata.org/wiki/Q1414747","display_name":"Momentum (technical analysis)","level":2,"score":0.5989828705787659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5750136375427246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3475416600704193},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27867087721824646},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.15133386850357056},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13732871413230896},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.10350525379180908},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3704267","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704267","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704267","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:10.1145/3704267","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704267","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704267","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":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4404332174.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W2219888463","https://openalex.org/W2788667846","https://openalex.org/W2913777072","https://openalex.org/W2969648982","https://openalex.org/W2990789643","https://openalex.org/W3022945404","https://openalex.org/W3034790665","https://openalex.org/W3035661448","https://openalex.org/W3064112253","https://openalex.org/W3068123808","https://openalex.org/W3081273427","https://openalex.org/W3109094166","https://openalex.org/W3112044954","https://openalex.org/W3158301207","https://openalex.org/W3178746453","https://openalex.org/W3185162399","https://openalex.org/W3190794503","https://openalex.org/W3197720002","https://openalex.org/W3205970722","https://openalex.org/W3211010549","https://openalex.org/W3217045679","https://openalex.org/W4206337041","https://openalex.org/W4206806590","https://openalex.org/W4210623832","https://openalex.org/W4213390626","https://openalex.org/W4214658871","https://openalex.org/W4220974940","https://openalex.org/W4224307605","https://openalex.org/W4224307896","https://openalex.org/W4224319012","https://openalex.org/W4224983022","https://openalex.org/W4293452925","https://openalex.org/W4321472314","https://openalex.org/W4378696997","https://openalex.org/W4382237515","https://openalex.org/W4382463479","https://openalex.org/W4386451564"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266"],"abstract_inverted_index":{"With":[0],"the":[1,9,22,33,50,88,91,102,108,111,118,142,159,165,173,180,196,201,205,223,230],"development":[2],"of":[3,11,35,104,110,145,168,189,200,232],"5G":[4],"communication":[5,97,115,143,160,206,219],"and":[6,80,98,107,133,162,203,221],"smart":[7],"devices,":[8],"prosperity":[10],"online":[12],"content":[13],"has":[14,61],"boosted":[15],"Recommender":[16,74,127],"System":[17,75,128],"(RS)":[18],"research.":[19],"Due":[20],"to":[21,31,64,82,87,117,140,157,171,194,217],"data":[23,40,51,71],"scarcity":[24],"problem,":[25,48],"researchers":[26],"employ":[27],"knowledge":[28],"transfer":[29],"techniques":[30],"improve":[32],"accuracy":[34],"RS.":[36],"Data":[37],"sharing":[38],"or":[39],"augmentation":[41],"are":[42],"promising":[43],"methods":[44],"for":[45],"such":[46],"a":[47,186],"but":[49],"suffers":[52,94],"from":[53,95],"privacy":[54],"leakage":[55],"during":[56],"sharing.":[57],"Thus,":[58],"federated":[59,78],"learning":[60,79],"been":[62],"adopted":[63],"collaboratively":[65],"train":[66],"recommender":[67],"models":[68],"while":[69],"preserving":[70],"privacy.":[72],"Federated":[73,126],"(FRS)":[76],"combines":[77],"RS":[81],"provide":[83],"distributed":[84],"recommendation":[85],"services":[86],"users.":[89],"However,":[90],"existing":[92],"FRS":[93],"massive":[96],"system":[99,224],"heterogeneity,":[100],"where":[101],"necessity":[103],"model":[105,174],"transmission":[106],"diversity":[109],"clients":[112,170,202],"bring":[113],"significant":[114],"overhead":[116,144],"system.":[119],"In":[120],"this":[121],"article,":[122],"we":[123],"propose":[124],"Efficient":[125],"with":[129,192],"Adaptive":[130,151],"Model":[131,152],"Pruning":[132,153],"Momentum-based":[134,176],"Batch":[135,177],"Adjustment":[136,178],"(":[137],"\\(eFRSA^{2}\\)":[138,147,213,233],")":[139],"reduce":[141,158,204,215],"FRS.":[146],"contains":[148],"two":[149],"modules.":[150],"utilizes":[154],"magnitude":[155],"pruning":[156],"volume":[161,220],"adaptively":[163],"modifies":[164],"compression":[166],"ratios":[167],"different":[169],"maintain":[172],"accuracy.":[175],"adjusts":[179],"local":[181,197],"training":[182,235],"batch":[183],"number":[184],"by":[185,226],"similar":[187],"method":[188],"gradient":[190],"descent":[191],"momentum":[193],"align":[195],"computation":[198],"time":[199],"overhead.":[207],"The":[208],"experimental":[209],"results":[210],"demonstrate":[211],"that":[212],"can":[214,239],"up":[216],"90%":[218],"mitigate":[222],"heterogeneity":[225],"over":[227],"75%,":[228],"demonstrating":[229],"priority":[231],"in":[234],"efficiency.":[236],"Source":[237],"code":[238],"be":[240],"found":[241],"at":[242],"https://github.com/shhjwu5/eFRSA2":[243],".":[244]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}