{"id":"https://openalex.org/W4311681632","doi":"https://doi.org/10.1145/3551626.3564955","title":"Federated Knowledge Transfer for Heterogeneous Visual Models","display_name":"Federated Knowledge Transfer for Heterogeneous Visual Models","publication_year":2022,"publication_date":"2022-12-07","ids":{"openalex":"https://openalex.org/W4311681632","doi":"https://doi.org/10.1145/3551626.3564955"},"language":"en","primary_location":{"id":"doi:10.1145/3551626.3564955","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3551626.3564955","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3551626.3564955","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM International Conference on Multimedia in Asia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3551626.3564955","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100691366","display_name":"Wenzhe Li","orcid":"https://orcid.org/0000-0001-9258-6771"},"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":"Wenzhe Li","raw_affiliation_strings":["Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103091369","display_name":"Zirui Zhu","orcid":"https://orcid.org/0009-0007-6736-8757"},"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":"Zirui Zhu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057477098","display_name":"Tianchi Huang","orcid":"https://orcid.org/0000-0001-9378-6329"},"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":"Tianchi Huang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047712495","display_name":"Lifeng Sun","orcid":"https://orcid.org/0000-0002-4057-5138"},"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":"Lifeng Sun","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101456902","display_name":"Chun Yuan","orcid":"https://orcid.org/0000-0002-3590-6676"},"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":"Chun Yuan","raw_affiliation_strings":["Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.3374,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56325482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.995199978351593,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9912999868392944,"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/federated-learning","display_name":"Federated learning","score":0.8489226698875427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8481239676475525},{"id":"https://openalex.org/keywords/collaborative-learning","display_name":"Collaborative learning","score":0.4922000467777252},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.48864465951919556},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4557896852493286},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3868953287601471},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37113845348358154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.368194043636322},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3491024971008301},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.26310375332832336},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07352915406227112}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8489226698875427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8481239676475525},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.4922000467777252},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.48864465951919556},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4557896852493286},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3868953287601471},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37113845348358154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.368194043636322},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3491024971008301},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.26310375332832336},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07352915406227112},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3551626.3564955","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3551626.3564955","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3551626.3564955","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM International Conference on Multimedia in Asia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3551626.3564955","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3551626.3564955","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3551626.3564955","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM International Conference on Multimedia in Asia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6658023004","display_name":null,"funder_award_id":"61936011","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4311681632.pdf","grobid_xml":"https://content.openalex.org/works/W4311681632.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W3035163969","https://openalex.org/W3038022836","https://openalex.org/W3094163844","https://openalex.org/W3102272584","https://openalex.org/W3145185940","https://openalex.org/W3161120562","https://openalex.org/W4213010368","https://openalex.org/W6759238902","https://openalex.org/W6785449543"],"related_works":["https://openalex.org/W4298221930","https://openalex.org/W2777914285","https://openalex.org/W3013363440","https://openalex.org/W4287823391","https://openalex.org/W4312762663","https://openalex.org/W4317941881","https://openalex.org/W3201126466","https://openalex.org/W4229067761","https://openalex.org/W4308527955","https://openalex.org/W4366829214"],"abstract_inverted_index":{"Federated":[0],"learning":[1,7,15,26],"(FL)":[2],"is":[3],"a":[4],"privacy-preserving":[5],"distributed":[6],"paradigm":[8],"that":[9],"enables":[10],"collaborative":[11],"training":[12],"of":[13],"machine":[14],"models":[16,40,54,68],"among":[17],"multiple":[18],"participants.":[19],"However,":[20],"despite":[21],"recent":[22],"progress,":[23],"existing":[24],"federated":[25,46,51],"systems":[27],"can":[28],"still":[29],"not":[30],"handle":[31],"heterogeneous":[32,39,62],"models.":[33],"For":[34],"instance,":[35],"candidate":[36],"clients":[37],"with":[38],"are":[41,55],"inaccessible":[42],"to":[43,57,60],"the":[44,50,66],"established":[45],"system.":[47],"And":[48],"within":[49],"system,":[52],"local":[53],"forbidden":[56],"be":[58],"updated":[59,67],"become":[61],"models,":[63],"even":[64],"though":[65],"work":[69],"better.":[70]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}