{"id":"https://openalex.org/W4414359150","doi":"https://doi.org/10.24963/ijcai.2025/744","title":"DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information","display_name":"DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359150","doi":"https://doi.org/10.24963/ijcai.2025/744"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/744","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-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/A5105103246","display_name":"Yun Xin","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun Xin","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068178313","display_name":"Jianfeng Lu","orcid":"https://orcid.org/0000-0001-6834-1539"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Lu","raw_affiliation_strings":["Key Laboratory of Social Computing and Cognitive Intelligence (Dalian University of Technology),","Ministry of Education, China","School of Computer Science and Technology, Wuhan University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Social Computing and Cognitive Intelligence (Dalian University of Technology),","institution_ids":["https://openalex.org/I27357992"]},{"raw_affiliation_string":"Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077156405","display_name":"Shuqin Cao","orcid":"https://orcid.org/0000-0001-7058-7650"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]},{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Shuqin Cao","raw_affiliation_strings":["Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System,","Wuhan University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System,","institution_ids":["https://openalex.org/I4210153682"]},{"raw_affiliation_string":"Wuhan University of Science and Technology, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018012012","display_name":"Gang Li","orcid":"https://orcid.org/0000-0002-8573-1608"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Li","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027119797","display_name":"Haozhao Wang","orcid":"https://orcid.org/0000-0002-7591-5315"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haozhao Wang","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040088510","display_name":"Guanghui Wen","orcid":"https://orcid.org/0000-0003-0070-8597"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Wen","raw_affiliation_strings":["School of Automation, Southeast University, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5105103246"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13926411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6687","last_page":"6695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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/T10237","display_name":"Cryptography and Data Security","score":0.9943000078201294,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9789000153541565,"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/persuasion","display_name":"Persuasion","score":0.6815999746322632},{"id":"https://openalex.org/keywords/complete-information","display_name":"Complete information","score":0.661899983882904},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.5967000126838684},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.586899995803833},{"id":"https://openalex.org/keywords/dynamic-pricing","display_name":"Dynamic pricing","score":0.46549999713897705},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.4097000062465668},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4074999988079071},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.40549999475479126},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.38659998774528503}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736999988555908},{"id":"https://openalex.org/C2781310500","wikidata":"https://www.wikidata.org/wiki/Q1231428","display_name":"Persuasion","level":2,"score":0.6815999746322632},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.661899983882904},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.5967000126838684},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.586899995803833},{"id":"https://openalex.org/C2779391423","wikidata":"https://www.wikidata.org/wiki/Q17009728","display_name":"Dynamic pricing","level":2,"score":0.46549999713897705},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.4097000062465668},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4074999988079071},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.40549999475479126},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.38659998774528503},{"id":"https://openalex.org/C91810955","wikidata":"https://www.wikidata.org/wiki/Q7731670","display_name":"Incentive compatibility","level":3,"score":0.38609999418258667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38109999895095825},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3702000081539154},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.36880001425743103},{"id":"https://openalex.org/C200594392","wikidata":"https://www.wikidata.org/wiki/Q812529","display_name":"Bayesian game","level":4,"score":0.3686000108718872},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.36489999294281006},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.31940001249313354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31029999256134033},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2897000014781952},{"id":"https://openalex.org/C32407928","wikidata":"https://www.wikidata.org/wiki/Q2733833","display_name":"Best response","level":3,"score":0.2872999906539917},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2655999958515167},{"id":"https://openalex.org/C9233905","wikidata":"https://www.wikidata.org/wiki/Q3276328","display_name":"Bidding","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.25600001215934753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/744","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"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":{"Online":[0],"Federated":[1,111],"Learning":[2],"(OFL)":[3],"is":[4,28,48,64],"a":[5,103,129,137,147,174],"real-time":[6,79],"learning":[7,112],"paradigm":[8],"that":[9,187],"sequentially":[10],"executes":[11],"parameter":[12],"aggregation":[13],"immediately":[14],"for":[15,109],"each":[16,98],"random":[17],"arriving":[18,99],"client.":[19],"To":[20,86],"motivate":[21],"clients":[22,74,88,127],"to":[23,30,34,89,97,220],"participate":[24,90],"in":[25,46,91,213],"OFL,":[26],"it":[27],"crucial":[29],"offer":[31],"appropriate":[32],"incentives":[33],"offset":[35],"the":[36,41,51,62,67,78,84,121,124,144,155,167,202,209,215],"training":[37,92],"resource":[38],"consumption.":[39],"However,":[40],"design":[42,102,157,170],"of":[43,54,66,77,146,158,171,204,211],"incentive":[44],"mechanisms":[45],"OFL":[47],"constrained":[49],"by":[50,83,93,119,194,218],"dynamic":[52,95,130],"variability":[53],"Two-sided":[55],"Incomplete":[56],"Information":[57],"(TII)":[58],"concerning":[59],"resources,":[60,72],"where":[61],"server":[63,125],"unaware":[65],"clients\u2019":[68],"dynamically":[69],"changing":[70],"computational":[71],"while":[73,196],"lack":[75],"knowledge":[76],"communication":[80],"resources":[81],"allocated":[82],"server.":[85],"incentivize":[87],"offering":[94],"rewards":[96],"client,":[100],"we":[101,117,164],"novel":[104],"Dynamic":[105],"Bayesian":[106,138,149],"persuasion":[107,139,150],"pricing":[108,133],"online":[110],"(DaringFed)":[113],"under":[114,160,177],"TII.":[115,178],"Specifically,":[116],"begin":[118],"formulating":[120],"interaction":[122],"between":[123],"and":[126,132,141,191,208],"as":[128],"signaling":[131],"allocation":[134],"problem":[135],"within":[136],"game,":[140],"then":[142],"demonstrate":[143,186],"existence":[145],"unique":[148],"Nash":[151],"equilibrium.":[152],"By":[153],"deriving":[154],"optimal":[156,169],"DaringFed":[159,172,188,212],"one-sided":[161],"incomplete":[162],"information,":[163],"further":[165],"analyze":[166],"approximate":[168],"with":[173,198],"specific":[175],"bound":[176],"Finally,":[179],"extensive":[180],"evaluation":[181],"conducted":[182],"on":[183],"real":[184],"datasets":[185,200],"optimizes":[189],"accuracy":[190],"converges":[192],"speed":[193],"16.99%,":[195],"experiments":[197],"synthetic":[199],"validate":[201],"convergence":[203],"estimate":[205],"unknown":[206],"values":[207],"effectiveness":[210],"improving":[214],"server\u2019s":[216],"utility":[217],"up":[219],"12.6%.":[221]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
