{"id":"https://openalex.org/W4409683240","doi":"https://doi.org/10.1109/tmc.2025.3563404","title":"FedACS: An Adaptive Client Selection Framework for Communication-Efficient Federated Graph Learning","display_name":"FedACS: An Adaptive Client Selection Framework for Communication-Efficient Federated Graph Learning","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409683240","doi":"https://doi.org/10.1109/tmc.2025.3563404"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2025.3563404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3563404","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","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":"https://openalex.org/A5063184427","display_name":"Hongli Xu","orcid":"https://orcid.org/0000-0003-3831-4577"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongli Xu","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0003-3831-4577","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xianjun Gao","orcid":"https://orcid.org/0009-0004-1784-8478"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianjun Gao","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0004-1784-8478","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071164333","display_name":"Jianchun Liu","orcid":"https://orcid.org/0000-0002-1764-9303"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianchun Liu","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-1764-9303","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090508439","display_name":"Qianpiao Ma","orcid":"https://orcid.org/0000-0001-8684-3495"},"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"]},{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianpiao Ma","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","post-doctoral researcher, Purple Mountain Laboratories, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8684-3495","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"post-doctoral researcher, Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021086875","display_name":"Liusheng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liusheng Huang","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0001-8417-3256","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.188,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93539171,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"24","issue":"10","first_page":"9760","last_page":"9773"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9952999949455261,"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":0.9952999949455261,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9724000096321106,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8759774565696716},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5005350112915039},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.49808239936828613},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45781224966049194},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40001580119132996},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.35144343972206116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24146774411201477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8759774565696716},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5005350112915039},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49808239936828613},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45781224966049194},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40001580119132996},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.35144343972206116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24146774411201477}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2025.3563404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3563404","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2651838923","display_name":null,"funder_award_id":"WK2150110033","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G645416012","display_name":null,"funder_award_id":"62132019","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1560267311","https://openalex.org/W2009205701","https://openalex.org/W2119825970","https://openalex.org/W2144487656","https://openalex.org/W2168405694","https://openalex.org/W2807021761","https://openalex.org/W2912213068","https://openalex.org/W2950929549","https://openalex.org/W3127190257","https://openalex.org/W3155936517","https://openalex.org/W3156310591","https://openalex.org/W3217045679","https://openalex.org/W4284692566","https://openalex.org/W4288083766","https://openalex.org/W4289534065","https://openalex.org/W4290875407","https://openalex.org/W4294068674","https://openalex.org/W4308083749","https://openalex.org/W4312227216","https://openalex.org/W4312429505","https://openalex.org/W4319067727","https://openalex.org/W4372347361","https://openalex.org/W4382203112","https://openalex.org/W4382318655","https://openalex.org/W4389319131","https://openalex.org/W4392251790","https://openalex.org/W4392449742"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2111375262","https://openalex.org/W2317728013","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W4252076617","https://openalex.org/W2322875716","https://openalex.org/W1991205173"],"abstract_inverted_index":{"Federated":[0],"graph":[1,12,15,43,122],"learning":[2],"(FGL)":[3],"has":[4],"been":[5],"proposed":[6],"to":[7,67,100,155,160,192,194],"collaboratively":[8],"train":[9],"the":[10,69,110,119,135,143,161,165,182,196],"increasing":[11],"data":[13,123],"with":[14,29,181],"neural":[16],"networks":[17],"(GNNs)":[18],"in":[19],"a":[20,93,149],"recommendation":[21,27,128],"system.":[22],"Nevertheless,":[23],"implementing":[24],"an":[25,84],"efficient":[26,85],"system":[28],"FGL":[30,86],"still":[31],"faces":[32],"two":[33],"primary":[34],"challenges,":[35],"i.e.,":[36],"limited":[37],"communication":[38,49,77,102,188],"bandwidth":[39],"and":[40,104,118,164,186],"non-IID":[41,61,105],"local":[42],"data.":[44],"Existing":[45],"works":[46],"typically":[47],"reduce":[48],"frequency":[50],"or":[51],"transmission":[52],"amount,":[53],"which":[54,74,90],"may":[55],"suffer":[56],"significant":[57,115],"performance":[58,167],"degradation":[59],"under":[60],"settings.":[62],"Furthermore,":[63],"some":[64],"researchers":[65],"propose":[66,83],"share":[68],"underlying":[70],"structure":[71,120],"among":[72,124],"clients,":[73,126],"brings":[75],"massive":[76],"cost.":[78],"To":[79,141],"this":[80],"end,":[81],"we":[82,147],"framework,":[87],"named":[88],"FedACS,":[89,109],"adaptively":[91],"selects":[92],"subset":[94],"of":[95,121],"clients":[96,158],"for":[97],"model":[98,113],"training,":[99],"alleviate":[101],"overhead":[103],"issues":[106],"simultaneously.":[107],"In":[108],"global":[111],"GNN":[112],"learns":[114],"hidden":[116],"edges":[117],"selected":[125],"enhancing":[127],"efficiency.":[129],"This":[130],"capability":[131],"distinguishes":[132],"it":[133],"from":[134],"traditional":[136],"FL":[137],"client":[138,144],"selection":[139,145],"methods.":[140],"optimize":[142],"process,":[146],"introduce":[148],"multi-armed":[150],"bandit":[151],"(MAB)":[152],"based":[153],"algorithm":[154],"select":[156],"participating":[157],"according":[159],"resource":[162,184],"budgets":[163],"training":[166],"(i.e.,":[168],"RMSE).":[169],"Experimental":[170],"results":[171],"indicate":[172],"that":[173],"FedACS":[174],"improves":[175],"RMSE":[176,198],"by":[177,190],"5.4%":[178],"over":[179],"baselines":[180],"same":[183,197],"budget":[185],"reduces":[187],"costs":[189],"up":[191],"70.7%":[193],"achieve":[195],"performance.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}