2023
Coded Matrix Computations for D2D-Enabled Linearized Federated Learning
ICASSP 2023accepted
Federated learning (FL) is a popular technique for training a global model on data distributed across client devices. Like other distributed training techniques, FL is susceptible to straggler (slower or failed) clients. Recent work has proposed to address this through device-to-device (D2D) offload…