ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

no code implementations • ICLR 2022 • Xinchi Qiu, Javier Fernandez-Marques, Pedro PB Gusmao, Yan Gao, Titouan Parcollet, Nicholas Donald Lane

When the available hardware cannot meet the memory and compute requirements to efficiently train high performing machine learning models, a compromise in either the training quality or the model complexity is needed.

Federated Learning