Xun Chen

Memory-adaptive Depth-wise Heterogeneous Federated Learning

2023 · arXiv (Cornell University)

Federated learning is a promising paradigm that allows multiple clients to collaboratively train a model without sharing the local data. However, the presence of heterogeneous devices in federated learning, such as mobile phones and IoT …