FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features

Zijian Li, Zehong Lin, Jiawei Shao +2

Federated learning (FL) is a distributed learning paradigm that maximizes the potential of data-driven models for edge devices without sharing their raw data. However, devices ofte…