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

Tianqu Kang, Lumin Liu, Hengtao He +3

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…