首页|Reports from Nanjing University of Posts and Telecommunications Highlight Recent Findings in Computational Intelligence (Exploitation Maximization of Unlabeled Data for Federated Semi-supervised Learning)
Reports from Nanjing University of Posts and Telecommunications Highlight Recent Findings in Computational Intelligence (Exploitation Maximization of Unlabeled Data for Federated Semi-supervised Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning - Com putational Intelligence is the subject of a report. According to news reporting originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Federated learning (FL), as an emerging paradigm in edge intel ligence, enables numerous edge devices to collaborate with a central server in t raining a shared model without compromising data privacy. Existing FL algorithms mostly focus on addressing the problem of non-independently and identically dis tributed (Non-IID) data in supervised scenarios.”
NanjingPeople’s Republic of ChinaAsi aComputational IntelligenceEmerging TechnologiesMachine LearningSupervis ed LearningNanjing University of Posts and Telecommunications
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