{"id":"https://openalex.org/W7154350345","doi":"https://doi.org/10.48550/arxiv.2604.10678","title":"FedRio: Personalized Federated Social Bot Detection via Cooperative Reinforced Contrastive Adversarial Distillation","display_name":"FedRio: Personalized Federated Social Bot Detection via Cooperative Reinforced Contrastive Adversarial Distillation","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7154350345","doi":"https://doi.org/10.48550/arxiv.2604.10678"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.10678","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10678","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.10678","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133595286","display_name":"Yingguang Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yingguang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133587204","display_name":"Hao Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133615526","display_name":"Xin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133600975","display_name":"Yunhui Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yunhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041728402","display_name":"Yutong Xia","orcid":"https://orcid.org/0000-0001-9026-0049"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Yutong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133605986","display_name":"Qi Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Qi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133552850","display_name":"Hao Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133597083","display_name":"Taoran Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Taoran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043041253","display_name":"Bin Chong","orcid":"https://orcid.org/0000-0002-8741-178X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chong, Bin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133558133","display_name":"Tieke He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Tieke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133609977","display_name":"Philip S. Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Philip S.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.8705999851226807,"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"}},"topics":[{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.8705999851226807,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.035999998450279236,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11147","display_name":"Misinformation and Its Impacts","score":0.033900000154972076,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7882000207901001},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4961000084877014},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41350001096725464},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4018000066280365},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4007999897003174},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.39730000495910645},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.3716999888420105},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3702999949455261},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.3662000000476837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8367999792098999},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7882000207901001},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5318999886512756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.516700029373169},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4961000084877014},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4018000066280365},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.39730000495910645},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3716999888420105},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3662000000476837},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3084000051021576},{"id":"https://openalex.org/C527821871","wikidata":"https://www.wikidata.org/wiki/Q228502","display_name":"Access control","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2587999999523163},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.10678","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10678","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.10678","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10678","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Social":[0,73],"bot":[1,17,42,172],"detection":[2,18,31,62,173,185],"is":[3],"critical":[4],"to":[5,35,129,157],"the":[6,26,54,91],"stability":[7],"and":[8,38,49,60,136,141,151,189],"security":[9],"of":[10,28,46,56,104],"online":[11],"social":[12,171],"platforms.":[13],"However,":[14],"current":[15],"state-of-the-art":[16,180],"models":[19],"are":[20],"largely":[21],"developed":[22],"in":[23,162,184],"isolation,":[24],"overlooking":[25],"benefits":[27],"leveraging":[29],"shared":[30],"patterns":[32],"across":[33],"platforms":[34],"improve":[36],"performance":[37],"promptly":[39],"identify":[40],"emerging":[41],"variants.":[43],"The":[44],"heterogeneity":[45,161],"data":[47,106,160],"distributions":[48],"model":[50],"architectures":[51],"further":[52],"complicates":[53],"design":[55,109],"an":[57,86],"effective":[58],"cross-platform":[59],"cross-model":[61],"framework.":[63,82],"To":[64,99],"address":[65],"these":[66],"challenges,":[67],"we":[68,108,121,145],"propose":[69],"FedRio":[70,177],"(Personalized":[71],"Federated":[72],"Bot":[74],"Detection":[75],"with":[76,196],"Cooperative":[77],"Reinforced":[78],"Contrastive":[79],"Adversarial":[80],"Distillation":[81],"We":[83],"first":[84],"introduce":[85],"adaptive":[87,147],"message-passing":[88],"module":[89],"as":[90],"graph":[92],"neural":[93],"network":[94],"backbone":[95],"for":[96],"each":[97],"client.":[98],"facilitate":[100],"efficient":[101],"knowledge":[102,112],"sharing":[103],"global":[105,142],"distributions,":[107],"a":[110,123],"federated":[111,164,181],"extraction":[113],"mechanism":[114],"based":[115],"on":[116,168],"generative":[117],"adversarial":[118,125],"networks.":[119],"Additionally,":[120],"employ":[122],"multi-stage":[124],"contrastive":[126],"learning":[127,182],"strategy":[128],"enforce":[130],"feature":[131,190],"space":[132,191],"consistency":[133],"among":[134],"clients":[135],"reduce":[137],"divergence":[138],"between":[139],"local":[140],"models.":[143],"Finally,":[144],"adopt":[146],"server-side":[148],"parameter":[149,155],"aggregation":[150],"reinforcement":[152],"learning-based":[153],"client-side":[154],"control":[156],"better":[158],"accommodate":[159],"heterogeneous":[163],"settings.":[165],"Extensive":[166],"experiments":[167],"two":[169],"real-world":[170],"benchmarks":[174],"demonstrate":[175],"that":[176],"consistently":[178],"outperforms":[179],"baselines":[183],"accuracy,":[186],"communication":[187],"efficiency,":[188],"consistency,":[192],"while":[193],"remaining":[194],"competitive":[195],"published":[197],"centralized":[198],"results":[199],"under":[200],"substantially":[201],"stronger":[202],"privacy":[203],"constraints.":[204]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-15T00:00:00"}