2022
FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks
ECCV 2022poster
"Federated learning (FL) enables clients to collaboratively train a model, while keeping their local training data decentralized. However, high communication costs, data heterogeneity across clients, and lack of personalization techniques hinder the development of FL. In this paper, we propose FedLT…