Federated Learning with Class Balanced Loss Optimized by Implicit Stochastic Gradient Descent

J Zhou, M Zheng - International Conference on Soft Computing in Data …, 2023 - Springer
Federated learning is a paradigm for distributed machine learning in which a central server
interacts with a large number of remote devices to create the optimal global model. System …
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Federated Learning with Class Balanced Loss Optimized by Implicit Stochastic Gradient Descent

J Zhou - Soft Computing in Data Science: 7th International …, 2023 - books.google.com
Federated learning is a paradigm for distributed machine learning in which a central server
interacts with a large number of remote devices to create the optimal global model. System …