首页|Reports Outline Machine Learning Study Findings from Beijing Institute of Technology (Fedgta: Topology-aware Averaging for Federated Graph Learning)
Reports Outline Machine Learning Study Findings from Beijing Institute of Technology (Fedgta: Topology-aware Averaging for Federated Graph Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “FederatedGraph Learning (FGL) is a distributed machine learning paradigm that enables collaborative training onlarge-scale subgraphs across multiple local systems. Existing FGL studies fall into two categories: (ⅰ) FGLOptimization, which improves multiclient training in existing machine learning models; (ⅱ) FGL Model,which enhances performance with complex local models and multiclient interactions.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesGraph LearningMachine LearningBeijing Institute of Technology
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