The article discusses the development of a Secure-Aggregation (SecAgg) algorithm for residential short-term load forecasting, which maintains data privacy while also being robust against attacks. The algorithm minimizes communication complexity…
Continue readingThe article introduces WIMA (Window-based Model Averaging), a method designed to enhance the robustness and generalization capabilities of global models in Federated Learning (FL). FL aims to develop a shared…
Continue readingThe paper discusses Deep Gradient Leakage (DGL), an attack that recovers private training images from gradient vectors, posing significant privacy challenges in distributed learning. To defend against such attacks, the…
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