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cs.LG2025
On the Interaction of Batch Noise, Adaptivity, and Compression, under -Smoothness: An SDE Approach
Enea Monzio Compagnoni, Rustem Islamov, Frank Norbert Proske +3
Distributed stochastic optimization intertwines (i) stochastic gradient noise, (ii) communication compression, and (iii) adaptive/normalized updates. While each factor has been stu…
cs.LG2025
Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs
Enea Monzio Compagnoni, Rustem Islamov, Frank Norbert Proske +1
Distributed methods are essential for handling machine learning pipelines comprising large-scale models and datasets. However, their benefits often come at the cost of increased co…