{"id":"https://openalex.org/W4388985442","doi":"https://doi.org/10.1108/ijwis-08-2023-0128","title":"FedACQ: adaptive clustering quantization of model parameters in federated learning","display_name":"FedACQ: adaptive clustering quantization of model parameters in federated learning","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4388985442","doi":"https://doi.org/10.1108/ijwis-08-2023-0128"},"language":"en","primary_location":{"id":"doi:10.1108/ijwis-08-2023-0128","doi":"https://doi.org/10.1108/ijwis-08-2023-0128","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-08-2023-0128","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","fnege-4","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5101092742","display_name":"Tingting Tian","orcid":"https://orcid.org/0009-0000-9785-9433","observed_orcids":["https://orcid.org/0009-0000-9785-9433"]},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Tian","raw_affiliation_strings":["College of Artificial Intelligence and Computer, Jiangnan University, Wuxi, China and Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence and Computer, Jiangnan University, Wuxi, China and Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040192808","display_name":"Hongjian Shi","orcid":"https://orcid.org/0000-0003-0743-7806","observed_orcids":["https://orcid.org/0000-0003-0743-7806"]},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjian Shi","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036789442","display_name":"Ruhui Ma","orcid":"https://orcid.org/0000-0001-9592-8490","observed_orcids":["https://orcid.org/0000-0001-9592-8490"]},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruhui Ma","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China and Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China and Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066675534","display_name":"Yuan Liu","orcid":"https://orcid.org/0000-0002-2576-1426","observed_orcids":["https://orcid.org/0000-0002-2576-1426"]},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Liu","raw_affiliation_strings":["College of Artificial Intelligence and Computer, Jiangnan University, Wuxi, China and Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence and Computer, Jiangnan University, Wuxi, China and Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2848,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53576766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"20","issue":"1","first_page":"88","last_page":"110"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.0,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"federated learning","score":0.9869999885559082},{"id":"https://openalex.org/keywords/adaptive-clustering","display_name":"adaptive clustering","score":0.8759999871253967},{"id":"https://openalex.org/keywords/communication-efficiency","display_name":"communication efficiency","score":0.8140000104904175},{"id":"https://openalex.org/keywords/model-compression","display_name":"model compression","score":0.7120000123977661},{"id":"https://openalex.org/keywords/communication-rounds","display_name":"communication rounds","score":0.4779999852180481},{"id":"https://openalex.org/keywords/parameter-aggregation","display_name":"parameter aggregation","score":0.5299999713897705},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"privacy preservation","score":0.33799999952316284},{"id":"https://openalex.org/keywords/resource-constrained-devices","display_name":"resource-constrained devices","score":0.6700000166893005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8913513422012329},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.7602124810218811},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6038627028465271},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5534807443618774},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.46685558557510376},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4316829442977905},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38418424129486084},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34687545895576477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2523415684700012},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijwis-08-2023-0128","doi":"https://doi.org/10.1108/ijwis-08-2023-0128","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-08-2023-0128","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","fnege-4","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6773999929428101,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1566114229","https://openalex.org/W1569778844","https://openalex.org/W1673310716","https://openalex.org/W1686810756","https://openalex.org/W1845051632","https://openalex.org/W2014465787","https://openalex.org/W2119144962","https://openalex.org/W2127218421","https://openalex.org/W2473418344","https://openalex.org/W2535838896","https://openalex.org/W2541884796","https://openalex.org/W2593245696","https://openalex.org/W2617766261","https://openalex.org/W2701059868","https://openalex.org/W2750384547","https://openalex.org/W2768347741","https://openalex.org/W2769644379","https://openalex.org/W2786602455","https://openalex.org/W2809624076","https://openalex.org/W2896342044","https://openalex.org/W2918777711","https://openalex.org/W2936864631","https://openalex.org/W2946198813","https://openalex.org/W2962935923","https://openalex.org/W2963313259","https://openalex.org/W2963318081","https://openalex.org/W2975043678","https://openalex.org/W2995022099","https://openalex.org/W3003175769","https://openalex.org/W3007137254","https://openalex.org/W3034719990","https://openalex.org/W3042615550","https://openalex.org/W3045638580","https://openalex.org/W3152952112","https://openalex.org/W3170437634","https://openalex.org/W3196941949","https://openalex.org/W3208144977","https://openalex.org/W3211010549","https://openalex.org/W4200635003","https://openalex.org/W4283798759","https://openalex.org/W4283816018","https://openalex.org/W4284700174","https://openalex.org/W4285022990","https://openalex.org/W4286493958","https://openalex.org/W4293312040","https://openalex.org/W4296260108","https://openalex.org/W4312615272","https://openalex.org/W4362690135","https://openalex.org/W4385574162"],"related_works":["https://openalex.org/W3208144977","https://openalex.org/W4396787084","https://openalex.org/W4386360680","https://openalex.org/W4396655341","https://openalex.org/W4411241019","https://openalex.org/W4233497049","https://openalex.org/W4403212283","https://openalex.org/W4311367491","https://openalex.org/W7155548227","https://openalex.org/W4404433368"],"abstract_inverted_index":{"Purpose":[0],"For":[1],"privacy":[2],"protection,":[3],"federated":[4,41,141,168],"learning":[5,12,42,142],"based":[6],"on":[7,17,111,188],"data":[8,23],"separation":[9],"allows":[10,77],"machine":[11],"models":[13],"to":[14,27,54,81,92,121,152,165],"be":[15,44,122],"trained":[16],"remote":[18],"devices":[19],"or":[20],"in":[21,40,48,71],"isolated":[22],"devices.":[24],"However,":[25],"due":[26],"the":[28,60,66,88,100,107,118,130,137,140,146,154,160,170,182],"limited":[29,192],"resources":[30],"such":[31],"as":[32],"bandwidth":[33],"and":[34,65,124],"power":[35],"of":[36,62,68,133,139,149,167],"local":[37,49,84,89],"devices,":[38],"communication":[39,56,63,186],"can":[43,184],"much":[45],"slower":[46],"than":[47],"computing.":[50],"This":[51,75],"study":[52],"aims":[53],"improve":[55,185],"efficiency":[57,187],"by":[58,104],"reducing":[59],"number":[61,148],"rounds":[64],"size":[67],"information":[69,120],"transmitted":[70],"each":[72,78,127],"round.":[73],"Design/methodology/approach":[74],"paper":[76],"user":[79,114],"node":[80],"perform":[82],"multiple":[83],"trainings,":[85],"then":[86,125],"upload":[87],"model":[90,102,155],"parameters":[91,103],"a":[93],"central":[94,97],"server.":[95],"The":[96],"server":[98],"updates":[99],"global":[101],"weighted":[105],"averaging":[106],"parameter":[108,119],"information.":[109,156],"Based":[110],"this":[112],"aggregation,":[113],"nodes":[115],"first":[116],"cluster":[117],"uploaded":[123],"replace":[126],"value":[128,132],"with":[129,191],"mean":[131],"its":[134],"cluster.":[135],"Considering":[136],"asymmetry":[138],"framework,":[143],"adaptively":[144],"select":[145],"optimal":[147],"clusters":[150],"required":[151],"compress":[153],"Findings":[157],"While":[158],"maintaining":[159],"loss":[161],"convergence":[162],"rate":[163],"similar":[164],"that":[166],"averaging,":[169],"test":[171],"accuracy":[172],"did":[173],"not":[174],"decrease":[175],"significantly.":[176],"Originality/value":[177],"By":[178],"compressing":[179],"uplink":[180],"traffic,":[181],"work":[183],"dynamic":[189],"networks":[190],"resources.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-11-25T00:00:00"}
