首页|Findings from Huazhong University of Science and Technology Has Provided New Dat a on Computational Intelligence (Fedlaw: Valueaware Federated Learning With Ind ividual Fairness and Coalition Stability)
Findings from Huazhong University of Science and Technology Has Provided New Dat a on Computational Intelligence (Fedlaw: Valueaware Federated Learning With Ind ividual Fairness and Coalition Stability)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning - Computational Intelligence. According to news reporting origina ting in Wuhan, People’s Republic of China, by NewsRx journalists, research state d, “A long-standing problem remains with the heterogeneous clients in Federated Learning (FL), who often have diverse gains and requirements for the trained mod el, while their contributions are hard to evaluate due to the privacy-preserving training. Existing works mainly rely on single-dimension metric to calculate cl ients’ contributions as aggregation weights, which however may damage the social fairness, thus discouraging the cooperation willingness of worse-off clients an d causing the revenue instability.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
WuhanPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningHuazhong University of Science an d Technology
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