6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 6 cited
Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression
Wenchen Han, Shay Vargaftik, Michael Mitzenmacher +2
Gradient aggregation has long been identified as a major bottleneck in today's large-scale distributed machine learning training systems. One promising solution to mitigate such bo…
cs.DS2022
SQUID: Faster Analytics via Sampled Quantile Estimation
Ran Ben-Basat, Gil Einziger, Wenchen Han +1
Streaming algorithms are fundamental in the analysis of large and online datasets. A key component of many such analytic tasks is -MAX, which finds the largest values in a n…