{"id":"https://openalex.org/W4401508505","doi":"https://doi.org/10.1109/infocom52122.2024.10621240","title":"AeroRec: An Efficient On-Device Recommendation Framework using Federated Self-Supervised Knowledge Distillation","display_name":"AeroRec: An Efficient On-Device Recommendation Framework using Federated Self-Supervised Knowledge Distillation","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4401508505","doi":"https://doi.org/10.1109/infocom52122.2024.10621240"},"language":"en","primary_location":{"id":"doi:10.1109/infocom52122.2024.10621240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","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/A5075788878","display_name":"Tengxi Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tengxi Xia","raw_affiliation_strings":["BNRist, Tsinghua University,Key Laboratory of Pervasive Computing, Ministry of Education,Department of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University,Key Laboratory of Pervasive Computing, Ministry of Education,Department of Computer Science and Technology","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015419107","display_name":"Ju Ren","orcid":"https://orcid.org/0000-0003-2782-183X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju Ren","raw_affiliation_strings":["BNRist, Tsinghua University,Key Laboratory of Pervasive Computing, Ministry of Education,Department of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University,Key Laboratory of Pervasive Computing, Ministry of Education,Department of Computer Science and Technology","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080725149","display_name":"Wei Rao","orcid":"https://orcid.org/0000-0002-6559-583X"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Rao","raw_affiliation_strings":["Meituan,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Meituan,Beijing,China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099980924","display_name":"Qin Zu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Zu","raw_affiliation_strings":["Meituan,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Meituan,Beijing,China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368542","display_name":"Wenjie Wang","orcid":"https://orcid.org/0000-0003-2516-8654"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Wang","raw_affiliation_strings":["Meituan,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Meituan,Beijing,China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049175059","display_name":"Shuai Chen","orcid":"https://orcid.org/0000-0002-7910-2303"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Chen","raw_affiliation_strings":["Meituan,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Meituan,Beijing,China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069049205","display_name":"Yaoxue Zhang","orcid":"https://orcid.org/0000-0001-6717-461X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoxue Zhang","raw_affiliation_strings":["BNRist, Tsinghua University,Key Laboratory of Pervasive Computing, Ministry of Education,Department of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University,Key Laboratory of Pervasive Computing, Ministry of Education,Department of Computer Science and Technology","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5075788878"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.8118,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77986719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"121","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.989300012588501,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9883000254631042,"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":0.8161140084266663},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.724704921245575},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4368855059146881},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34880518913269043},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3266306519508362},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.06118568778038025},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.04971134662628174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8161140084266663},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.724704921245575},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4368855059146881},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34880518913269043},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3266306519508362},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.06118568778038025},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.04971134662628174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom52122.2024.10621240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1981886741","https://openalex.org/W2002357163","https://openalex.org/W2134797427","https://openalex.org/W2142144955","https://openalex.org/W2171279286","https://openalex.org/W2756899312","https://openalex.org/W2764043458","https://openalex.org/W2788997749","https://openalex.org/W2789084759","https://openalex.org/W2808847742","https://openalex.org/W2963367478","https://openalex.org/W2965744319","https://openalex.org/W2984100107","https://openalex.org/W3035661448","https://openalex.org/W3035705826","https://openalex.org/W3045964660","https://openalex.org/W3065542300","https://openalex.org/W3081170586","https://openalex.org/W3081273427","https://openalex.org/W3093502611","https://openalex.org/W3100260481","https://openalex.org/W3100480425","https://openalex.org/W3105472188","https://openalex.org/W3109689953","https://openalex.org/W3114632476","https://openalex.org/W3123459983","https://openalex.org/W3127173367","https://openalex.org/W3133849783","https://openalex.org/W3146964317","https://openalex.org/W3158301207","https://openalex.org/W3166751026","https://openalex.org/W3174074918","https://openalex.org/W3182158470","https://openalex.org/W3185693672","https://openalex.org/W4224316819","https://openalex.org/W4224926669","https://openalex.org/W4286565907","https://openalex.org/W4288083766","https://openalex.org/W4299286960","https://openalex.org/W4310631727","https://openalex.org/W4312804044","https://openalex.org/W4318619660","https://openalex.org/W4387461044","https://openalex.org/W6638523607","https://openalex.org/W6679909955","https://openalex.org/W6692935382","https://openalex.org/W6712624321","https://openalex.org/W6728757088","https://openalex.org/W6744386955","https://openalex.org/W6745148473","https://openalex.org/W6774314701","https://openalex.org/W6790009805"],"related_works":["https://openalex.org/W4391375266","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","https://openalex.org/W4317039510"],"abstract_inverted_index":{"Modern":[0],"recommendation":[1,55,68,103,143,214],"systems":[2],"operate":[3],"entirely":[4],"on":[5,222],"the":[6,47,82,107,132,135,140,170,185,191,195],"basis":[7],"of":[8,85,109,126,134,142,194],"central":[9],"servers,":[10],"requiring":[11],"users":[12,62],"to":[13,21,42,63,131,168],"upload":[14],"their":[15,72],"behavior":[16,74],"data":[17,30],"from":[18],"mobile":[19,87,110],"devices":[20],"these":[22],"servers.":[23],"This":[24,180],"practice":[25],"has":[26],"raised":[27],"concerns":[28],"about":[29],"privacy":[31],"among":[32],"users.":[33],"Federated":[34,57],"learning":[35,39,53,79,128],"(FL),":[36],"a":[37,66,101,152,201],"machine":[38],"technique":[40],"designed":[41],"protect":[43],"privacy,":[44],"is":[45,115],"becoming":[46],"standard":[48],"solution.":[49],"By":[50],"combining":[51],"federated":[52,78,127,165],"with":[54,118],"systems,":[56],"Recommendation":[58,159],"Systems":[59],"(FRS)":[60],"allow":[61],"collaboratively":[64],"train":[65],"shared":[67],"model":[69,104,172],"without":[70],"transmitting":[71],"original":[73],"data.":[75,144],"However,":[76],"existing":[77],"solutions":[80],"disregard":[81],"inherent":[83],"limitations":[84,133],"resource-constrained":[86],"devices,":[88,111],"which":[89],"include":[90],"limited":[91],"storage":[92],"space,":[93],"computational":[94],"overhead,":[95],"and":[96,139,216],"communication":[97,120],"bandwidth.":[98],"Although":[99],"deploying":[100],"lightweight":[102,136,196],"can":[105],"address":[106,146],"constraints":[108],"achieving":[112],"satisfactory":[113],"accuracy":[114,215],"difficult":[116],"even":[117],"substantial":[119],"overhead":[121],"incurred":[122],"during":[123],"multiple":[124],"rounds":[125],"training":[129],"due":[130],"model\u2019s":[137,197],"capabilities":[138],"sparsity":[141],"To":[145],"this":[147],"issue,":[148],"we":[149,163],"propose":[150],"AeroRec,":[151,162],"n":[153],"e":[154],"fficient":[155],"on-device":[156],"Feder":[157],"ated":[158],"Framework.":[160],"In":[161],"use":[164],"self-supervised":[166],"distillation":[167],"enhance":[169],"global":[171],"after":[173],"each":[174,178],"parameter":[175],"aggregation":[176],"in":[177],"round.":[179],"approach":[181],"not":[182],"only":[183],"accelerates":[184],"convergence":[186,217],"rate":[187],"but":[188],"also":[189],"surpasses":[190],"upper":[192],"limit":[193],"capability,":[198],"thereby":[199],"enabling":[200],"higher":[202],"accuracy.":[203],"We":[204],"demonstrate":[205],"that":[206],"AeroRec":[207],"outperforms":[208],"several":[209],"state-of-the-art":[210],"FRS":[211],"frameworks":[212],"regarding":[213],"speed":[218],"through":[219],"extensive":[220],"experiments":[221],"three":[223],"real-world":[224],"datasets.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
