FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning

Peiran Xu, Zeyu Wang, Jieru Mei +4

Federated learning (FL) is an emerging paradigm in machine learning, where a shared model is collaboratively learned using data from multiple devices to mitigate the risk of data l…