2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
AAAI 2022technical
We study the problem of distributed training of neural networks (NNs) on devices with heterogeneous, limited, and time-varying availability of computational resources. We present an adaptive, resource-aware, on-device learning mechanism, DISTREAL, which is able to fully and efficiently utilize the a…