2 papers
cs.LG2021
Distributed Optimization using Heterogeneous Compute Systems
Vineeth S
Hardware compute power has been growing at an unprecedented rate in recent years. The utilization of such advancements plays a key role in producing better results in less time --…
cs.LG2021
Unbiased Single-scale and Multi-scale Quantizers for Distributed Optimization
S Vineeth
Massive amounts of data have led to the training of large-scale machine learning models on a single worker inefficient. Distributed machine learning methods such as Parallel-SGD ha…