Mar 13, 2020 · In this paper, we propose Prague, a high-performance heterogeneity-aware asynchronous decentralized training approach.
Mar 20, 2020 · This paper propose Prague, a high performance heterogeneity- aware asynchronous decentralized training approach. To reduce synchronization ...
Sep 17, 2019 · In this paper, we propose Ripples, a high-performance heterogeneity-aware asynchronous decentralized training approach.
Worker: 1. Compute and apply gradients locally. 2. Contact Group Generator to get its group. 3. Perform P-Reduce with other group members collectively.
Major contribution: we propose Prague, a high-performance heterogeneity-aware asynchronous decentralized training approach. Compared to the state-of-the-art ...
Duration: 19:18
Posted: Mar 14, 2020
Posted: Mar 14, 2020
Lian et al. further demonstrated that AD-SGD is superior to asynchronous or decentralized SGD and scales well with large-scale distributed training systems. Luo ...
Oct 25, 2020 · Bibliographic details on Prague: High-Performance Heterogeneity-Aware Asynchronous Decentralized Training.
This paper proposes Hop, the first heterogeneity-aware decentralized training protocol, a queue-based synchronization mechanism that can efficiently ...
In this paper, we propose Ripples, a high-performance heterogeneity-aware asynchronous decentralized training ap- proach. To reduce synchronization cost, we ...