{"id":"https://openalex.org/W4408147697","doi":"https://doi.org/10.1145/3712274","title":"Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models","display_name":"Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models","publication_year":2025,"publication_date":"2025-03-03","ids":{"openalex":"https://openalex.org/W4408147697","doi":"https://doi.org/10.1145/3712274"},"language":"en","primary_location":{"id":"doi:10.1145/3712274","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712274","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3712274","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"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":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3712274","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101766806","display_name":"Yifeng Cai","orcid":"https://orcid.org/0000-0002-0049-6670"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifeng Cai","raw_affiliation_strings":["MOE Key Lab of HCST (PKU), School of Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0049-6670","affiliations":[{"raw_affiliation_string":"MOE Key Lab of HCST (PKU), School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020717851","display_name":"Ziqi Zhang","orcid":"https://orcid.org/0000-0001-8493-0261"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziqi Zhang","raw_affiliation_strings":["Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL, USA"],"raw_orcid":"https://orcid.org/0000-0001-8493-0261","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039182822","display_name":"Ding Li","orcid":"https://orcid.org/0000-0001-7558-9137"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Li","raw_affiliation_strings":["MOE Key Lab of HCST (PKU), School of Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7558-9137","affiliations":[{"raw_affiliation_string":"MOE Key Lab of HCST (PKU), School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021450973","display_name":"Yao Guo","orcid":"https://orcid.org/0000-0001-5064-5286"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Guo","raw_affiliation_strings":["MOE Key Lab of HCST (PKU), School of Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5064-5286","affiliations":[{"raw_affiliation_string":"MOE Key Lab of HCST (PKU), School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101636662","display_name":"Xiangqun Chen","orcid":"https://orcid.org/0000-0002-7366-5906"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangqun Chen","raw_affiliation_strings":["MOE Key Lab of HCST (PKU), School of Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7366-5906","affiliations":[{"raw_affiliation_string":"MOE Key Lab of HCST (PKU), School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01548081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","first_page":"1","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":0.9850999712944031,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.984000027179718,"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/proxy","display_name":"Proxy (statistics)","score":0.749887228012085},{"id":"https://openalex.org/keywords/moss","display_name":"Moss","score":0.6252124309539795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48546913266181946},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4606793522834778},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.20129159092903137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10334980487823486},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.093380868434906},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.055936455726623535}],"concepts":[{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.749887228012085},{"id":"https://openalex.org/C2780888338","wikidata":"https://www.wikidata.org/wiki/Q25347","display_name":"Moss","level":2,"score":0.6252124309539795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48546913266181946},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4606793522834778},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.20129159092903137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10334980487823486},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.093380868434906},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.055936455726623535}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3712274","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712274","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3712274","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"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":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2503.10218","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.10218","pdf_url":"https://arxiv.org/pdf/2503.10218","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3712274","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712274","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3712274","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"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":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408147697.pdf"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1990947293","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2115042198","https://openalex.org/W2116790095","https://openalex.org/W2194775991","https://openalex.org/W2896422817","https://openalex.org/W2911910392","https://openalex.org/W2913017407","https://openalex.org/W2913830554","https://openalex.org/W2914911817","https://openalex.org/W2962856739","https://openalex.org/W2963163009","https://openalex.org/W2963918968","https://openalex.org/W2963943197","https://openalex.org/W2973223332","https://openalex.org/W2982157312","https://openalex.org/W2982242214","https://openalex.org/W2990138404","https://openalex.org/W3003850239","https://openalex.org/W3004127093","https://openalex.org/W3015735225","https://openalex.org/W3021654819","https://openalex.org/W3034368386","https://openalex.org/W3035453001","https://openalex.org/W3038012435","https://openalex.org/W3038022836","https://openalex.org/W3084623993","https://openalex.org/W3115265657","https://openalex.org/W3134509799","https://openalex.org/W3138154797","https://openalex.org/W3138597937","https://openalex.org/W3156024711","https://openalex.org/W3174401204","https://openalex.org/W3194685608","https://openalex.org/W3208166108","https://openalex.org/W3210103168","https://openalex.org/W3211149853","https://openalex.org/W3211781253","https://openalex.org/W3214721897","https://openalex.org/W4205097557","https://openalex.org/W4213069590","https://openalex.org/W4213112742","https://openalex.org/W4236965008","https://openalex.org/W4249502209","https://openalex.org/W4256572020","https://openalex.org/W4283032505","https://openalex.org/W4283796783","https://openalex.org/W4285601829","https://openalex.org/W4287322665","https://openalex.org/W4304080258","https://openalex.org/W4306178406","https://openalex.org/W4312943253","https://openalex.org/W4317926941","https://openalex.org/W4317928033","https://openalex.org/W4320008754","https://openalex.org/W4323793447","https://openalex.org/W4380925562","https://openalex.org/W4380926665","https://openalex.org/W4384345716","https://openalex.org/W4385270023","https://openalex.org/W4389722404","https://openalex.org/W4390813681","https://openalex.org/W4402349540","https://openalex.org/W4404586928","https://openalex.org/W6759238902"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4389743045","https://openalex.org/W4283657230","https://openalex.org/W2045610356","https://openalex.org/W4362736463","https://openalex.org/W2018986755","https://openalex.org/W3176937389","https://openalex.org/W4408069290"],"abstract_inverted_index":{"Modern":[0],"Federated":[1],"Learning":[2],"(FL)":[3],"has":[4],"become":[5],"increasingly":[6],"essential":[7],"for":[8],"handling":[9],"highly":[10],"heterogeneous":[11,57],"mobile":[12],"devices.":[13],"Current":[14],"approaches":[15],"adopt":[16],"a":[17,45],"partial":[18],"model":[19,26],"aggregation":[20,42],"paradigm":[21],"that":[22,68],"leads":[23],"to":[24,59,89],"sub-optimal":[25],"accuracy":[27],"and":[28,43,77,82],"higher":[29],"training":[30,75],"overhead.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"challenge":[36],"the":[37],"prevailing":[38],"notion":[39],"of":[40],"partial-model":[41],"propose":[44],"novel":[46],"\"full-weight":[47],"aggregation\"":[48],"method":[49],"named":[50],"Moss,":[51],"which":[52],"aggregates":[53],"all":[54],"weights":[55],"within":[56],"models":[58],"preserve":[60],"comprehensive":[61],"knowledge.":[62],"Evaluation":[63],"across":[64],"various":[65],"applications":[66],"demonstrates":[67],"Moss":[69],"significantly":[70],"accelerates":[71],"training,":[72],"reduces":[73],"on-device":[74],"time":[76],"energy":[78],"consumption,":[79],"enhances":[80],"accuracy,":[81],"minimizes":[83],"network":[84],"bandwidth":[85],"utilization":[86],"when":[87],"compared":[88],"state-of-the-art":[90],"baselines.":[91]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}