Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout

no code implementations • 28 Oct 2022 • Chen Dun, Mirian Hipolito, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis

Asynchronous learning protocols have regained attention lately, especially in the Federated Learning (FL) setup, where slower clients can severely impede the learning process.

Federated Learning