首页|Data on Machine Learning Described by Researchers at Beijing University of Techn ology (Model Optimization Techniques In Personalized Federated Learning: a Surve y)
Data on Machine Learning Described by Researchers at Beijing University of Techn ology (Model Optimization Techniques In Personalized Federated Learning: a Surve y)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news originating from Beijing, People’s Republic of Chi na, by NewsRx correspondents, research stated, “Personalized federated learning (PFL) is an exciting approach that allows machine learning (ML) models to be tra ined on diverse and decentralized sources of data, while maintaining client priv acy and autonomy. However, PFL faces several challenges that can deteriorate the performance and effectiveness of the learning process.” Funders for this research include National Key RD Program China, R& D Program of Beijing Municipal Education Commission, National Natural Science Fo undation of China (NSFC), National Natural Science Foundation of China (NSFC), I mportation and Development of High-Caliber Talents Project of Beijing Municipal Institutions, Engineering Research Center of Intelligent Perception Autonomous C ontrol, Ministry of Education.
BeijingPeople’s Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningBeijing Univers ity of Technology
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