On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning

Hanhan Zhou, Tian Lan, Guru Venkataramani +1

One of the biggest challenges in Federated Learning (FL) is that client devices often have drastically different computation and communication resources for local updates. To this…