{"id":"https://openalex.org/W4386469847","doi":"https://doi.org/10.1109/tccn.2023.3312345","title":"CB-DSL: Communication-Efficient and Byzantine-Robust Distributed Swarm Learning on Non-i.i.d. Data","display_name":"CB-DSL: Communication-Efficient and Byzantine-Robust Distributed Swarm Learning on Non-i.i.d. Data","publication_year":2023,"publication_date":"2023-09-06","ids":{"openalex":"https://openalex.org/W4386469847","doi":"https://doi.org/10.1109/tccn.2023.3312345"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2023.3312345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2023.3312345","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","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/A5087945929","display_name":"Xin Fan","orcid":"https://orcid.org/0000-0003-1660-4290"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Fan","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066926793","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-3596-2280"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049709192","display_name":"Yan Huo","orcid":"https://orcid.org/0000-0003-0647-1009"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Huo","raw_affiliation_strings":["School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073942971","display_name":"Zhi Tian","orcid":"https://orcid.org/0000-0002-2738-6826"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhi Tian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087945929"],"corresponding_institution_ids":["https://openalex.org/I31683504"],"apc_list":null,"apc_paid":null,"fwci":2.5245,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.89533448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"10","issue":"1","first_page":"322","last_page":"334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9923999905586243,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7981288433074951},{"id":"https://openalex.org/keywords/digital-subscriber-line","display_name":"Digital subscriber line","score":0.5973523855209351},{"id":"https://openalex.org/keywords/swarm-robotics","display_name":"Swarm robotics","score":0.5400683283805847},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.5357332229614258},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.5262241363525391},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5174434781074524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4695957899093628},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4555356502532959},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38438326120376587},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.3419494032859802},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18043798208236694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7981288433074951},{"id":"https://openalex.org/C201374245","wikidata":"https://www.wikidata.org/wiki/Q104534","display_name":"Digital subscriber line","level":2,"score":0.5973523855209351},{"id":"https://openalex.org/C169337768","wikidata":"https://www.wikidata.org/wiki/Q2446723","display_name":"Swarm robotics","level":3,"score":0.5400683283805847},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5357332229614258},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.5262241363525391},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5174434781074524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4695957899093628},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4555356502532959},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38438326120376587},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.3419494032859802},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18043798208236694},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2023.3312345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2023.3312345","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2376476096","display_name":null,"funder_award_id":"2231209","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5377362156","display_name":null,"funder_award_id":"2136202","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7370174445","display_name":null,"funder_award_id":"1939553","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8027619801","display_name":null,"funder_award_id":"2128596","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G998020483","display_name":null,"funder_award_id":"2003211","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1958009659","https://openalex.org/W2063135797","https://openalex.org/W2109364787","https://openalex.org/W2143668817","https://openalex.org/W2152195021","https://openalex.org/W2342177834","https://openalex.org/W2407022425","https://openalex.org/W2472996304","https://openalex.org/W2535838896","https://openalex.org/W2606891064","https://openalex.org/W2755577605","https://openalex.org/W2807006176","https://openalex.org/W2903471046","https://openalex.org/W2918559617","https://openalex.org/W2937905591","https://openalex.org/W2947137917","https://openalex.org/W2954124071","https://openalex.org/W2955857228","https://openalex.org/W2962804345","https://openalex.org/W2972047324","https://openalex.org/W2990789643","https://openalex.org/W2999074226","https://openalex.org/W3000070558","https://openalex.org/W3006360344","https://openalex.org/W3007279825","https://openalex.org/W3013839438","https://openalex.org/W3015471529","https://openalex.org/W3015636663","https://openalex.org/W3021654819","https://openalex.org/W3022213304","https://openalex.org/W3030475315","https://openalex.org/W3041971333","https://openalex.org/W3045747588","https://openalex.org/W3090615085","https://openalex.org/W3101036738","https://openalex.org/W3101159567","https://openalex.org/W3124851551","https://openalex.org/W3125796803","https://openalex.org/W3126083338","https://openalex.org/W3146812040","https://openalex.org/W3159623990","https://openalex.org/W3180804458","https://openalex.org/W3184110332","https://openalex.org/W3196371845","https://openalex.org/W3205564238","https://openalex.org/W3205776668","https://openalex.org/W3213815372","https://openalex.org/W3215152198","https://openalex.org/W4206742934","https://openalex.org/W4226151590","https://openalex.org/W4242276910","https://openalex.org/W4250589301","https://openalex.org/W4283817857","https://openalex.org/W4285017956","https://openalex.org/W4290994050","https://openalex.org/W4297687186","https://openalex.org/W4312871782","https://openalex.org/W6704110935","https://openalex.org/W6728757088","https://openalex.org/W6746200960","https://openalex.org/W6746839373","https://openalex.org/W6748019269","https://openalex.org/W6748786018","https://openalex.org/W6752029299","https://openalex.org/W6757139170","https://openalex.org/W6758662331","https://openalex.org/W6770590064","https://openalex.org/W6773125850","https://openalex.org/W6779174293","https://openalex.org/W6797336499","https://openalex.org/W6798847918","https://openalex.org/W6802464851"],"related_works":["https://openalex.org/W4233987368","https://openalex.org/W65954170","https://openalex.org/W1988876749","https://openalex.org/W2182522217","https://openalex.org/W4386001959","https://openalex.org/W4234675952","https://openalex.org/W4304182880","https://openalex.org/W4362659455","https://openalex.org/W2789344126","https://openalex.org/W2985447784"],"abstract_inverted_index":{"The":[0],"valuable":[1],"data":[2,40,118,128,143],"collected":[3],"by":[4,57,71,183],"IoT":[5,53,137],"devices":[6],"together":[7],"with":[8,115,171],"the":[9,16,24,49,72,116,141,151,163,168,178,190,193,196],"resurgence":[10],"of":[11,19,52,66,74,78,103,126,154,181,192,195],"machine":[12],"learning":[13,32,68,86,97],"(ML)":[14],"stimulate":[15],"latest":[17],"trend":[18],"artificial":[20],"intelligence":[21,76],"(AI)":[22],"at":[23],"edge.":[25],"However,":[26],"traditional":[27],"ML":[28],"and":[29,42,93,108,120,134,146],"recent":[30],"federated":[31],"(FL)":[33],"face":[34],"major":[35],"challenges":[36],"including":[37],"communication":[38],"bottleneck,":[39],"heterogeneity,":[41],"security":[43],"concerns":[44],"in":[45,132],"edge":[46,85],"IoT.":[47],"Meanwhile,":[48],"swarm":[50,89,96,111,155],"nature":[51],"systems":[54],"is":[55,165],"overlooked":[56],"most":[58],"existing":[59],"literature,":[60],"which":[61,139,188],"calls":[62],"for":[63,88],"new":[64],"designs":[65],"distributed":[67,95],"algorithms.":[69],"Inspired":[70],"success":[73],"biological":[75],"(BI)":[77],"gregarious":[79],"organisms,":[80],"we":[81],"propose":[82],"a":[83,100,123],"novel":[84],"approach":[87],"IoT,":[90],"called":[91],"communication-efficient":[92],"Byzantine-robust":[94],"(CB-DSL),":[98],"through":[99],"holistic":[101],"integration":[102],"AI-enabled":[104],"stochastic":[105],"gradient":[106],"descent":[107],"BI-enabled":[109],"particle":[110],"optimization.":[112],"To":[113],"deal":[114],"non-i.i.d.":[117],"issues":[119],"Byzantine":[121],"attacks,":[122],"small":[124],"amount":[125],"global":[127],"samples":[129],"are":[130],"introduced":[131],"CB-DSL":[133,164,182],"shared":[135,198],"among":[136],"workers,":[138],"alleviates":[140],"local":[142],"heterogeneity":[144],"effectively":[145],"enables":[147],"to":[148,167],"fully":[149],"utilize":[150],"exploration-exploitation":[152],"mechanism":[153],"intelligence.":[156],"Our":[157],"convergence":[158,173],"analysis":[159],"theoretically":[160],"demonstrates":[161],"that":[162],"superior":[166],"standard":[169],"FL":[170],"better":[172],"behavior.":[174],"We":[175],"also":[176],"evaluate":[177],"model":[179],"divergence":[180],"deriving":[184],"its":[185],"upper":[186],"bound,":[187],"measures":[189],"effectiveness":[191],"introduction":[194],"globally":[197],"dataset.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}