FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data

no code implementations • 17 Nov 2022 • Ming Yang, Yanhan Wang, Xin Wang, Zhenyong Zhang, Xiaoming Wu, Peng Cheng

Federated learning is a distributed learning that allows each client to keep the original data locally and only upload the parameters of the local model to the server.

Contrastive Learning Federated Learning