Poster: Accelerate Cross-Device Federated Learning With Semi-Reliable Model Multicast Over The Air
Yunzhi Lin, Shouxi Luo · 2021
To achieve efficient model multicast for cross-device Federated Learning (FL) over shared wireless channels, we propose SRMP, a transport protocol that performs semi-reliable model multicast over the air by leveraging existing PHY-aided wireless multicast techniques. The preliminary study shows that, with novel designs, SRMP could reduce the communication time involved in each round of training significantly.