{"id":"https://openalex.org/W4388286154","doi":"https://doi.org/10.1109/tc.2023.3327513","title":"User-Distribution-Aware Federated Learning for Efficient Communication and Fast Inference","display_name":"User-Distribution-Aware Federated Learning for Efficient Communication and Fast Inference","publication_year":2023,"publication_date":"2023-11-03","ids":{"openalex":"https://openalex.org/W4388286154","doi":"https://doi.org/10.1109/tc.2023.3327513"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2023.3327513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2023.3327513","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-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":null,"display_name":"Yangguang Cui","orcid":"https://orcid.org/0000-0001-9447-0983"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangguang Cui","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China","School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9447-0983","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101655937","display_name":"Zhixing Zhang","orcid":"https://orcid.org/0000-0001-8185-6721"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixing Zhang","raw_affiliation_strings":["Software Engineering Institute, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8185-6721","affiliations":[{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102959387","display_name":"Nuo Wang","orcid":"https://orcid.org/0000-0002-2437-8759"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nuo Wang","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2437-8759","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748977","display_name":"Liying Li","orcid":"https://orcid.org/0000-0002-7223-4215"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liying Li","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7223-4215","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102927024","display_name":"Chun-Wei Chang","orcid":"https://orcid.org/0009-0002-4911-6824"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunwei Chang","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0002-4911-6824","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042163232","display_name":"Tongquan Wei","orcid":"https://orcid.org/0000-0002-7421-1711"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongquan Wei","raw_affiliation_strings":["School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7421-1711","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141962983","https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":1.0225,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81597504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"73","issue":"4","first_page":"1004","last_page":"1018"},"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":0.9962999820709229,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.754300594329834},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.720739483833313},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5105587244033813},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4344188868999481},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3516882658004761},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3313627243041992},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.30832916498184204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29134854674339294}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754300594329834},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.720739483833313},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5105587244033813},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4344188868999481},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3516882658004761},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3313627243041992},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.30832916498184204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29134854674339294}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tc.2023.3327513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2023.3327513","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7382153672","display_name":null,"funder_award_id":"62272169","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W2130062883","https://openalex.org/W2334793245","https://openalex.org/W2535838896","https://openalex.org/W2605258629","https://openalex.org/W2798720628","https://openalex.org/W2903732333","https://openalex.org/W2912182999","https://openalex.org/W2920095265","https://openalex.org/W2941578813","https://openalex.org/W2945038543","https://openalex.org/W2947072673","https://openalex.org/W2957780493","https://openalex.org/W2962677625","https://openalex.org/W2962814013","https://openalex.org/W2962883027","https://openalex.org/W2963125010","https://openalex.org/W2963318081","https://openalex.org/W2963384482","https://openalex.org/W2965929808","https://openalex.org/W2970400322","https://openalex.org/W2975156709","https://openalex.org/W2982464076","https://openalex.org/W2989289980","https://openalex.org/W2991308345","https://openalex.org/W3008177173","https://openalex.org/W3021123904","https://openalex.org/W3021654819","https://openalex.org/W3034265764","https://openalex.org/W3041173183","https://openalex.org/W3044238138","https://openalex.org/W3045638580","https://openalex.org/W3089683609","https://openalex.org/W3090527015","https://openalex.org/W3092525263","https://openalex.org/W3098486933","https://openalex.org/W3105122387","https://openalex.org/W3115360974","https://openalex.org/W3198770621","https://openalex.org/W4289107582","https://openalex.org/W4297687186","https://openalex.org/W4312416154","https://openalex.org/W4394670654","https://openalex.org/W6639703010","https://openalex.org/W6679314259","https://openalex.org/W6684191040","https://openalex.org/W6728757088","https://openalex.org/W6757093123","https://openalex.org/W6759238902","https://openalex.org/W6864277861"],"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/W2055243143","https://openalex.org/W4229067761","https://openalex.org/W4308527955","https://openalex.org/W4280588203"],"abstract_inverted_index":{"Deep":[0],"learning":[1,31],"as":[2,156],"a":[3,122,144,160],"service":[4],"(DLaaS)":[5],"that":[6,38,149,172],"promotes":[7],"deep":[8,146],"learning-based":[9],"applications":[10],"by":[11,77,180,191],"selling":[12],"computing":[13],"services":[14],"from":[15,25],"IT":[16],"companies":[17],"to":[18,42,66,86,127,134,182,193,198],"end-users":[19],"has":[20,159],"introduced":[21],"potential":[22],"privacy":[23,50],"leaks":[24],"users":[26,41],"and":[27,51,81,111,158,166,188],"cloud":[28],"servers.":[29],"Federated":[30],"(FL)":[32],"provides":[33],"an":[34,103],"emerging":[35,95],"distributed":[36],"paradigm":[37],"enables":[39],"numerous":[40],"collaboratively":[43],"train":[44],"deep-learning":[45,91],"models":[46,92],"while":[47],"protecting":[48],"user":[49,79,137],"data":[52],"security.":[53],"However,":[54],"many":[55],"FL-related":[56],"existing":[57],"works":[58],"only":[59],"focus":[60],"on":[61],"improving":[62],"communication":[63,186],"bottlenecks":[64],"due":[65,85],"frequent":[67],"model":[68],"parameter":[69],"transmission,":[70],"but":[71],"ignore":[72],"the":[73,87,94,115,130,135,151,173,178],"performance":[74,131],"degradation":[75,132],"incurred":[76],"imbalanced":[78,136],"distribution":[80],"high":[82,88],"inference":[83,113,190],"latency":[84],"complexity":[89],"of":[90],"in":[93,114],"IoT-edge-cloud":[96,116],"FL.":[97],"In":[98],"this":[99],"paper,":[100],"we":[101,120],"propose":[102,121],"efficient":[104],"user-distribution-aware":[105,123],"hierarchical":[106,124],"FL":[107,125],"for":[108,163],"communication-efficient":[109,164],"training":[110,165],"fast":[112,167],"DLaaS":[117],"architecture.":[118],"Specifically,":[119],"architecture":[126,141],"cope":[128],"with":[129],"owing":[133],"distribution.":[138],"The":[139],"proposed":[140,174],"also":[142],"features":[143],"lightweight":[145,153],"neural":[147],"network":[148],"adopts":[150],"designed":[152],"fire":[154],"modules":[155],"components":[157],"side":[161],"branch":[162],"inference.":[168],"Extensive":[169],"experiments":[170],"demonstrate":[171],"schemes":[175],"significantly":[176],"boost":[177],"accuracy":[179],"up":[181,192],"67.12%,":[183],"save":[184],"47.98%":[185],"costs,":[187],"accelerate":[189],"87.24":[194],"<inline-formula><tex-math":[195],"notation=\"LaTeX\">$\\boldsymbol{\\times}$</tex-math></inline-formula>":[196],"compared":[197],"benchmarking":[199],"methods.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}