Two papers accepted for Federated Learning workshop at ICML 2021

I attended the Thirty-eighth International Conference on Machine Learning, where we presented two posters in the Federated Learning Workshop. These works are based on our recent paper FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout and FedMix: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning.

Samuel Horvath
Samuel Horvath
PhD Student

PhD Student in Machine Learning and Optimization