Abstract: Quantization is one common approach to achieve communication-efficient federated learning (FL) via compressing the gradients uploaded by clients. However, most existing approaches use a ...
Abstract: The Generative Adversarial Network (GAN) based on differential privacy(DP) aims to protect data privacy through generative models. However, it faces challenges in balancing the trade-off ...
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