Federated Learning

Part of the series AI Guest Talks

Ramin Khalili, Huawei Munich Research Center, presents a new method in the field of Federated Learning (FL) that allows successive freezing and training of the parameters of a FL model, thus reducing the resource requirements of the training on the devices while still allowing sufficient co-adaptation between parameters.