首页|Findings from University of Electronic Science and Technology of China Yields Ne w Findings on Machine Learning (Improved Gradient Leakage Attack Against Compres sed Gradients In Federated Learning)
Findings from University of Electronic Science and Technology of China Yields Ne w Findings on Machine Learning (Improved Gradient Leakage Attack Against Compres sed Gradients In Federated Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating from Sichuan, People’s Republic of China, by NewsRx correspondents, research stated, “Distributedmachi ne learning, such as federated learning, protects privacy by collecting gradient s instead oftraining data. Recent studies have shown that gradient leakage atta cks are possible in distributed machinelearning, that is, the training data can be reconstructed from the shared gradients.”
SichuanPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningUniversity of Electronic Sc ience and Technology of China
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