首页|Studies from Beijing Electronic Science and Technology Institute Add New Finding s in the Area of Machine Learning (A personalized federated learning method base d on the residual multi-head attention mechanism)
Studies from Beijing Electronic Science and Technology Institute Add New Finding s in the Area of Machine Learning (A personalized federated learning method base d on the residual multi-head attention mechanism)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - A new study on artificial intelligence is now available. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Federated Learning (FL) i s a distributed machine learning technique for training machine learning models across multiple clients collaboratively. It allows multiple local devices to coo peratively train global models without compromising data privacy or necessitatin g extensive data transfer.” Financial supporters for this research include Beijing Electronic Science And Te chnology Institute; Fundamental Research Funds For The Central Universities.
Beijing Electronic Science and Technolog y InstituteBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging Techno logiesMachine Learning
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