{"id":"https://openalex.org/W4387870424","doi":"https://doi.org/10.1109/secon58729.2023.10287503","title":"FedHybrid: Hierarchical Hybrid Training for High-Performance Federated Learning","display_name":"FedHybrid: Hierarchical Hybrid Training for High-Performance Federated Learning","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4387870424","doi":"https://doi.org/10.1109/secon58729.2023.10287503"},"language":"en","primary_location":{"id":"doi:10.1109/secon58729.2023.10287503","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/secon58729.2023.10287503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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/A5088631540","display_name":"Tao Chang","orcid":"https://orcid.org/0000-0002-3572-2877"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Chang","raw_affiliation_strings":["National University of Defense Technology,National Key Laboratory of Parallel and Distributed Computing,China","National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,National Key Laboratory of Parallel and Distributed Computing,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361415","display_name":"Li Li","orcid":"https://orcid.org/0009-0002-8638-457X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["University of Macau,State Key Laboratory of Internet of Things for Smart City,China","State Key Laboratory of Internet of Things for Smart City, University of Macau, China"],"affiliations":[{"raw_affiliation_string":"University of Macau,State Key Laboratory of Internet of Things for Smart City,China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]},{"raw_affiliation_string":"State Key Laboratory of Internet of Things for Smart City, University of Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045759968","display_name":"Meihan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meihan Wu","raw_affiliation_strings":["National University of Defense Technology,National Key Laboratory of Parallel and Distributed Computing,China","National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,National Key Laboratory of Parallel and Distributed Computing,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002139930","display_name":"Wei Yu","orcid":"https://orcid.org/0000-0003-4522-7340"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yu","raw_affiliation_strings":["The 30th Research Institute of China Electronics Technology Group Corporation,China","The 30th Research Institute of China Electronics Technology Group Corporation, China"],"affiliations":[{"raw_affiliation_string":"The 30th Research Institute of China Electronics Technology Group Corporation,China","institution_ids":["https://openalex.org/I2800372957"]},{"raw_affiliation_string":"The 30th Research Institute of China Electronics Technology Group Corporation, China","institution_ids":["https://openalex.org/I2800372957"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115695468","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0000-0001-8949-5967"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["National University of Defense Technology,National Key Laboratory of Parallel and Distributed Computing,China","National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,National Key Laboratory of Parallel and Distributed Computing,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088631540"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13576682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"119","issue":null,"first_page":"303","last_page":"311"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9934999942779541,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8201888799667358},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7161877751350403},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6313037872314453},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5685569047927856},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5629169344902039},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49490422010421753},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4809945821762085},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.47821518778800964},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38134825229644775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3368600606918335},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.10915908217430115},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07984596490859985}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8201888799667358},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7161877751350403},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6313037872314453},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5685569047927856},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5629169344902039},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49490422010421753},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4809945821762085},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.47821518778800964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38134825229644775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3368600606918335},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.10915908217430115},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07984596490859985},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/secon58729.2023.10287503","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/secon58729.2023.10287503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1600388330","https://openalex.org/W1686810756","https://openalex.org/W1969281101","https://openalex.org/W2112796928","https://openalex.org/W2590796488","https://openalex.org/W2790284307","https://openalex.org/W2807006176","https://openalex.org/W2964137095","https://openalex.org/W2995022099","https://openalex.org/W3006555759","https://openalex.org/W3037871107","https://openalex.org/W3038022836","https://openalex.org/W3038028469","https://openalex.org/W3043723611","https://openalex.org/W3118608800","https://openalex.org/W3120225493","https://openalex.org/W3152624284","https://openalex.org/W3174943464","https://openalex.org/W3197690490","https://openalex.org/W4287868747","https://openalex.org/W4289147229","https://openalex.org/W4299283926","https://openalex.org/W4300427714","https://openalex.org/W4315607773","https://openalex.org/W4318619660","https://openalex.org/W6637373629","https://openalex.org/W6713132643","https://openalex.org/W6728757088","https://openalex.org/W6733793881","https://openalex.org/W6738383168","https://openalex.org/W6752029299","https://openalex.org/W6756756286","https://openalex.org/W6759226220","https://openalex.org/W6759238902","https://openalex.org/W6773552689","https://openalex.org/W6773817997","https://openalex.org/W6773976177","https://openalex.org/W6781318954","https://openalex.org/W6787972765","https://openalex.org/W6795916790"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W4394050964","https://openalex.org/W2551249631"],"abstract_inverted_index":{"Federated":[0,80],"Learning":[1,81],"coordinates":[2],"multiple":[3],"devices":[4,23,50,116,153],"to":[5,27,169,196,207,228,242],"train":[6],"a":[7,73,83,99,118,130,139,183],"shared":[8,57],"model":[9,58,178,239],"while":[10,175],"preserving":[11],"data":[12,38,47,111,166,204],"privacy.":[13],"Despite":[14],"its":[15,230],"potential":[16],"benefit,":[17],"the":[18,28,53,56,60,65,87,94,107,114,125,135,151,160,171,177,193,199,210,214,219,246],"increasing":[19],"number":[20],"of":[21,37,55,124,222],"participating":[22,115,145,152],"poses":[24],"new":[25],"challenges":[26],"deployment":[29],"in":[30,167,205],"real-world":[31],"cases.":[32],"The":[33,147,232],"highly":[34],"limited":[35],"amount":[36],"located":[39,112],"on":[40,82,93,113,117,134,143,252],"each":[41,144,181],"device":[42],"coupled":[43],"with":[44],"significantly":[45],"unbalanced":[46,110,164,202],"across":[48],"different":[49,155],"severely":[51],"impede":[52],"performance":[54],"and":[59,109,138,163,201,224,244],"overall":[61,172],"training":[62,76,102,165,173,188,203,248],"progress":[63,174],"at":[64],"same":[66,215],"time.In":[67],"this":[68],"paper,":[69],"we":[70,217],"propose":[71],"FedHybrid,":[72],"hierarchical":[74,100],"hybrid":[75,101],"framework":[77,103],"for":[78],"high-performance":[79],"wide":[84,119],"scale.":[85,120],"Unlike":[86],"existing":[88],"work":[89],"that":[90,104,235],"mainly":[91],"focuses":[92],"statistical":[95],"challenge,":[96],"FedHybrid":[97,122,223,236],"establishes":[98],"effectively":[105,197,237],"utilizes":[106],"fragmented":[108,200],"Specifically,":[121],"consists":[123],"following":[126],"two":[127],"core":[128],"components,":[129],"global":[131,148],"coordinator":[132,141,149,195],"deployed":[133,142],"central":[136],"server":[137],"local":[140,194,211],"device.":[146],"organizes":[150],"into":[154],"groups":[156],"through":[157],"jointly":[158],"considering":[159],"system":[161],"heterogeneity":[162],"order":[168,206],"accelerate":[170],"guaranteeing":[176],"performance.":[179],"Within":[180],"group,":[182],"novel":[184],"device-to-device":[185],"(D2D)":[186],"sequential":[187],"procedure":[189],"is":[190],"coordinated":[191],"by":[192,250],"utilize":[198],"intelligently":[208],"update":[209],"models.":[212],"At":[213],"time,":[216],"provide":[218],"theoretical":[220],"analysis":[221],"conduct":[225],"extensive":[226],"experiments":[227],"evaluate":[229],"effectiveness.":[231],"results":[233],"show":[234],"improves":[238],"accuracy":[240],"up":[241],"27%":[243],"accelerates":[245],"whole":[247],"process":[249],"20%":[251],"average.":[253]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}