{"id":"https://openalex.org/W4417168873","doi":"https://doi.org/10.1109/tmc.2025.3641696","title":"Toward Communication-Efficient Decentralized Federated Graph Learning Over Non-IID Data","display_name":"Toward Communication-Efficient Decentralized Federated Graph Learning Over Non-IID Data","publication_year":2025,"publication_date":"2025-12-09","ids":{"openalex":"https://openalex.org/W4417168873","doi":"https://doi.org/10.1109/tmc.2025.3641696"},"language":null,"primary_location":{"id":"doi:10.1109/tmc.2025.3641696","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3641696","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/A5100633959","display_name":"Shilong Wang","orcid":"https://orcid.org/0009-0002-5438-6538"},"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":"Shilong Wang","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/0009-0002-5438-6538","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/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":"Chenxia Tang","orcid":"https://orcid.org/0009-0005-7974-0160"},"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":"Chenxia Tang","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/0009-0005-7974-0160","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"]}],"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","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 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":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019604942","display_name":"Liusheng Huang","orcid":"https://orcid.org/0000-0001-8417-3256"},"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":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.792,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92209283,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"25","issue":"5","first_page":"6929","last_page":"6947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.7888000011444092,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.7888000011444092,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.15029999613761902,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.007300000172108412,"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/network-topology","display_name":"Network topology","score":0.7335000038146973},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.6790000200271606},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5634999871253967},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.36899998784065247},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.3644999861717224},{"id":"https://openalex.org/keywords/telecommunications-network","display_name":"Telecommunications network","score":0.3513999879360199},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.3440999984741211},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.33719998598098755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8417999744415283},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.7335000038146973},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.6790000200271606},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5634999871253967},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49709999561309814},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41130000352859497},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3644999861717224},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.33719998598098755},{"id":"https://openalex.org/C157406716","wikidata":"https://www.wikidata.org/wiki/Q4115842","display_name":"Topological graph theory","level":5,"score":0.32690000534057617},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.2793999910354614},{"id":"https://openalex.org/C30609935","wikidata":"https://www.wikidata.org/wiki/Q7291969","display_name":"Random geometric graph","level":5,"score":0.2793000042438507},{"id":"https://openalex.org/C134727501","wikidata":"https://www.wikidata.org/wiki/Q5597073","display_name":"Graph bandwidth","level":5,"score":0.27570000290870667},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2732999920845032},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2590000033378601}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2025.3641696","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3641696","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1992480370","https://openalex.org/W2074796812","https://openalex.org/W2145339207","https://openalex.org/W2900182564","https://openalex.org/W2902762175","https://openalex.org/W2963549123","https://openalex.org/W2967314080","https://openalex.org/W2973229164","https://openalex.org/W3038057116","https://openalex.org/W3094211131","https://openalex.org/W3133814152","https://openalex.org/W3175954176","https://openalex.org/W3197991416","https://openalex.org/W3206114081","https://openalex.org/W3206985409","https://openalex.org/W3213120752","https://openalex.org/W3215128276","https://openalex.org/W4242157971","https://openalex.org/W4283814689","https://openalex.org/W4284692566","https://openalex.org/W4285234583","https://openalex.org/W4287184035","https://openalex.org/W4289869659","https://openalex.org/W4293143667","https://openalex.org/W4318586086","https://openalex.org/W4362453368","https://openalex.org/W4365795814","https://openalex.org/W4385764191","https://openalex.org/W4386245173","https://openalex.org/W4386737044","https://openalex.org/W4386766438","https://openalex.org/W4388430401","https://openalex.org/W4389474234","https://openalex.org/W4391661565","https://openalex.org/W4391991593","https://openalex.org/W4392123877","https://openalex.org/W4392553889","https://openalex.org/W4392901632","https://openalex.org/W4393115925","https://openalex.org/W4393147746","https://openalex.org/W4393307203","https://openalex.org/W4396220739","https://openalex.org/W4396723396","https://openalex.org/W4399175049","https://openalex.org/W4400351035","https://openalex.org/W4400770729","https://openalex.org/W4400910543","https://openalex.org/W4403582460","https://openalex.org/W4404102213","https://openalex.org/W4404681793","https://openalex.org/W4405014735","https://openalex.org/W4407987204","https://openalex.org/W4408281889","https://openalex.org/W4413553926"],"related_works":[],"abstract_inverted_index":{"Decentralized":[0],"Federated":[1],"Graph":[2],"Learning":[3],"(DFGL)":[4],"overcomes":[5],"the":[6,10,51,62,106,129,133,143],"potential":[7,43],"bottlenecks":[8],"of":[9,19,64,132,145],"parameter":[11],"server":[12],"in":[13,100],"FGL.":[14],"However,":[15,151],"extensive":[16],"cross-worker":[17],"communication":[18,28,32,94,159,223],"graph":[20,40,59,146,205],"node":[21],"embeddings":[22],"during":[23],"DFGL":[24],"training":[25,98,162],"introduces":[26,193],"substantial":[27],"costs.":[29],"To":[30,186],"improve":[31],"efficiency,":[33],"constructing":[34],"sparse":[35],"network":[36,55,134,184,202],"topologies":[37,203],"or":[38],"applying":[39],"sampling":[41,147,206],"are":[42],"methods.":[44],"In":[45],"this":[46,70],"paper,":[47],"we":[48,72],"first":[49],"reveal":[50],"bidirectional":[52],"coupling":[53],"between":[54],"topology":[56,135],"construction":[57],"and":[58,136,161,167,182,204,222],"sampling,":[60],"underscoring":[61],"necessity":[63],"their":[65,88],"joint":[66],"optimization.":[67],"Motivated":[68],"by":[69,85,220,225,234],"insight,":[71],"propose":[73],"<sc":[74,102,190,214],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[75,103,114,124,138,178,191,215],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Duplex</small>,":[76],"a":[77,110,194],"unified":[78],"framework":[79],"that":[80,213],"co-optimizes":[81],"these":[82,188],"two":[83],"components":[84],"explicitly":[86],"modeling":[87],"interdependent":[89],"relationship,":[90],"thereby":[91],"significantly":[92],"reducing":[93],"costs":[95,224],"while":[96,231],"enhancing":[97],"performance":[99,163],"DFGL.":[101],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Duplex</small>":[104,192,216],"formulates":[105],"decision-making":[107],"process":[108],"as":[109],"coordinated":[111,154],"configuration":[112],"<inline-formula":[113,123,137],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[115,125,139],"notation=\"LaTeX\">$\\langle":[116],"\\mathbf":[117,119],"{A},":[118],"{R}":[120],"\\rangle$</tex-math></inline-formula>,":[121],"where":[122],"notation=\"LaTeX\">$\\bf":[126,140],"{A}$</tex-math></inline-formula>":[127],"is":[128,170],"adjacency":[130],"matrix":[131],"{R}$</tex-math></inline-formula>":[141],"denotes":[142],"set":[144],"ratios":[148,207],"for":[149,208],"workers.":[150,209],"determining":[152],"proper":[153],"configurations":[155],"to":[156,173,198,227,241],"achieve":[157,228],"optimal":[158,201],"efficiency":[160],"(e.g.,":[164],"model":[165],"accuracy":[166,233],"convergence":[168],"rate)":[169],"challenging":[171],"due":[172],"several":[174],"practical":[175],"issues,":[176],"<italic":[177],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">e.g.</i>,":[179],"statistical":[180],"heterogeneity":[181],"dynamic":[183],"conditions.":[185],"overcome":[187],"challenges,":[189],"novel":[195],"learning-driven":[196],"algorithm":[197],"adaptively":[199],"determine":[200],"Experimental":[210],"results":[211],"demonstrate":[212],"reduces":[217],"completion":[218],"time":[219],"20.1%\u201348.8%":[221],"16.7%\u201337.6%":[226],"target":[229],"accuracy,":[230],"improving":[232],"3.3%\u20137.9%":[235],"under":[236],"identical":[237],"resource":[238],"budgets":[239],"compared":[240],"baselines.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-04-09T06:08:40.794217","created_date":"2025-12-09T00:00:00"}
