When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning

Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

Action editor: Yaoliang Yu.

https://openreview.net/forum?id=v73h3bYE2Z

#federated #distributed #aggregated

When to Trust Aggregated Gradients: Addressing Negative Client...

Federated Learning has become a widely-used framework which allows learning a global model on decentralized local datasets under the condition of protecting local data privacy. However, federated...

OpenReview