Phoenix Meadowlark

FedAQT: Accurate Quantized Training with Federated Learning

Federated learning (FL) has been widely used to train neural networks with the decentralized training procedure where data is only accessed on clients’ devices for privacy preservation. However, the limited computation resources on clients’ devices prevent FL of large models. To overcome the constra…