Joint Privacy Enhancement and Quantization in Federated Learning

1 code implementation • 23 Aug 2022 • Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger

The distributed operation of FL gives rise to challenges that are not encountered in centralized machine learning, including the need to preserve the privacy of the local datasets, and the communication load due to the repeated exchange of updated models.

Federated Learning Privacy Preserving +1