{"id":"https://openalex.org/W4226284209","doi":"https://doi.org/10.1109/taes.2022.3158638","title":"Bayes-Based Distributed Estimation in Adversarial Multitask Networks","display_name":"Bayes-Based Distributed Estimation in Adversarial Multitask Networks","publication_year":2022,"publication_date":"2022-03-11","ids":{"openalex":"https://openalex.org/W4226284209","doi":"https://doi.org/10.1109/taes.2022.3158638"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2022.3158638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2022.3158638","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","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/A5100423076","display_name":"Tiantian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tiantian Wang","raw_affiliation_strings":["College of Artificial Intelligence, College of Electronic and Information Engineering, Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-2352-5611","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, College of Electronic and Information Engineering, Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332391","display_name":"Yuhan Li","orcid":"https://orcid.org/0000-0001-6445-2303"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Li","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-6445-2303","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352725","display_name":"Feng Chen","orcid":"https://orcid.org/0000-0002-9054-6570"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Chen","raw_affiliation_strings":["College of Artificial Intelligence, Brain-Inspired Computing and Intelligent Control Key Laboratory, Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-9054-6570","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Brain-Inspired Computing and Intelligent Control Key Laboratory, Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035048973","display_name":"Shukai Duan","orcid":"https://orcid.org/0000-0002-0040-3796"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shukai Duan","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-0040-3796","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100423076"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":2.1597,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85553499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"58","issue":"5","first_page":"4004","last_page":"4019"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9990000128746033,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9984999895095825,"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":0.7136064767837524},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6573723554611206},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6449567675590515},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.612824559211731},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5297454595565796},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5215727686882019},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.45790600776672363},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4567805528640747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3643801212310791},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.344977468252182},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3165584206581116},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.15573427081108093},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15287238359451294},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11856326460838318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7136064767837524},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6573723554611206},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6449567675590515},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.612824559211731},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5297454595565796},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5215727686882019},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.45790600776672363},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4567805528640747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3643801212310791},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.344977468252182},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3165584206581116},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.15573427081108093},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15287238359451294},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11856326460838318},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2022.3158638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2022.3158638","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"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 Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1151319504","display_name":null,"funder_award_id":"SWU019029","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8516124042","display_name":null,"funder_award_id":"XDJK2020B034","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"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":56,"referenced_works":["https://openalex.org/W1966811233","https://openalex.org/W1993005965","https://openalex.org/W2007208291","https://openalex.org/W2009257627","https://openalex.org/W2010191037","https://openalex.org/W2025184650","https://openalex.org/W2029080014","https://openalex.org/W2036070481","https://openalex.org/W2043973235","https://openalex.org/W2084361947","https://openalex.org/W2093795816","https://openalex.org/W2096124718","https://openalex.org/W2110482969","https://openalex.org/W2111714602","https://openalex.org/W2119434824","https://openalex.org/W2120655216","https://openalex.org/W2121820607","https://openalex.org/W2129906637","https://openalex.org/W2130359405","https://openalex.org/W2130442323","https://openalex.org/W2133568459","https://openalex.org/W2134442700","https://openalex.org/W2159585070","https://openalex.org/W2166046159","https://openalex.org/W2169818402","https://openalex.org/W2319865523","https://openalex.org/W2340384825","https://openalex.org/W2542402085","https://openalex.org/W2561829981","https://openalex.org/W2605703179","https://openalex.org/W2621887681","https://openalex.org/W2752217602","https://openalex.org/W2761773886","https://openalex.org/W2778402677","https://openalex.org/W2783683139","https://openalex.org/W2789525632","https://openalex.org/W2792192813","https://openalex.org/W2888153919","https://openalex.org/W2899685079","https://openalex.org/W2952432856","https://openalex.org/W2960414899","https://openalex.org/W2962907301","https://openalex.org/W2963157432","https://openalex.org/W2968897409","https://openalex.org/W2971685521","https://openalex.org/W2997297215","https://openalex.org/W2997659998","https://openalex.org/W3033341269","https://openalex.org/W3090591945","https://openalex.org/W3099627032","https://openalex.org/W3109979584","https://openalex.org/W3116371285","https://openalex.org/W3128763991","https://openalex.org/W3138470791","https://openalex.org/W4238850922","https://openalex.org/W4239240501"],"related_works":["https://openalex.org/W1975451135","https://openalex.org/W1603736412","https://openalex.org/W2890570089","https://openalex.org/W2989915292","https://openalex.org/W2295628284","https://openalex.org/W3148968234","https://openalex.org/W145760256","https://openalex.org/W2159856356","https://openalex.org/W2892165056","https://openalex.org/W2098964748"],"abstract_inverted_index":{"Recently,":[0],"the":[1,64,83,87,98,126,132,138,141],"problem":[2],"of":[3,90,101,131,140],"security":[4],"distributed":[5,76],"estimation":[6,28,117],"in":[7,54,149],"adversarial":[8,56],"multitask":[9,55],"wireless":[10,65],"sensor":[11,66],"networks":[12],"has":[13],"attracted":[14],"extensive":[15],"attention.":[16],"For":[17],"example,":[18],"malicious":[19],"attackers":[20],"always":[21],"affect":[22],"signal":[23],"processing":[24],"and":[25,75,96,121,128],"reduce":[26],"network":[27,57,151],"performance":[29],"by":[30,38,93,105,118,146],"destroying":[31],"data":[32],"information.":[33,123],"To":[34],"address":[35],"this":[36,42],"issue,":[37],"using":[39],"task":[40,94],"similarity,":[41],"article":[43],"proposes":[44],"a":[45],"diffusion":[46,77],"least-mean":[47],"square":[48],"algorithm":[49,61,134,143],"based":[50],"on":[51],"Bayes":[52,106],"(BDLMS)":[53],"environment.":[58],"The":[59,112],"BDLMS":[60,133],"can":[62],"divide":[63],"system":[67],"into":[68],"two":[69],"subsystems:":[70],"Noncooperative":[71],"LMS":[72,78],"(NCLMS)":[73],"subsystem":[74,85,114],"(DLMS)":[79],"subsystem.":[80],"Among":[81],"them,":[82],"NCLMS":[84],"ensures":[86],"state":[88],"consistency":[89],"neighboring":[91],"nodes":[92],"similarity":[95],"calculates":[97],"posterior":[99],"probability":[100],"node":[102],"being":[103],"attacked":[104],"rule":[107],"to":[108],"achieve":[109],"attack":[110],"detection.":[111],"DLMS":[113],"performs":[115],"parameter":[116],"combining":[119],"safe":[120],"reliable":[122],"In":[124],"addition,":[125],"mean":[127],"mean-square":[129],"stability":[130],"are":[135],"analyzed.":[136],"Finally,":[137],"effectiveness":[139],"proposed":[142],"is":[144],"verified":[145],"simulation":[147],"experiments":[148],"different":[150],"environments.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}