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Dmitrii Feoktistov

2 accepted papers

2026

Softsignum: Smooth Your Signum For Better Heterogeneity Handling

ICML 2026poster

Sign-based optimization methods, such as SignSGD and Signum, have become essential for modern Deep Learning due to their 1) high performance 2) low memory footprint and 3) communication efficiency. Despite their success, these methods suffer from distinct limitations in the terminal phase of trainin…

Cited by 0SourceScholar
2024

Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks

NeurIPS 2024poster

We consider the task of minimizing the sum of convex functions stored in a decentralized manner across the nodes of a communication network. This problem is relatively well-studied in the scenario when the objective functions are smooth, or the links of the network are fixed in time, or both. In par…

Cited by 1SourcePDFScholar