Hengtao He

The Effect of Quantization in Federated Learning:A Rényi Differential Privacy Perspective

2024

Federated Learning (FL) is an emerging paradigm that holds great promise for privacy-preserving machine learning using distributed data. To enhance privacy, FL can be combined with Differential Privacy (DP), which involves adding Gaussian noise to …