Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data

Okko Makkonen, Sampo Niemelä, Camilla Hollanti +1

This work focuses on the challenges of non-IID data and stragglers/dropouts in federated learning. We introduce and explore a privacy-flexible paradigm that models parts of the cli…