2 papers
cs.LG2024
A Unified Framework for Center-based Clustering of Distributed Data
Aleksandar Armacki, Dragana BajoviÄ, DuÅ¡an JakovetiÄ +1
We develop a family of distributed center-based clustering algorithms that work over networks of users. In the proposed scenario, users contain a local dataset and communicate only…
cs.LG2024
High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise
Aleksandar Armacki, Pranay Sharma, Gauri Joshi +3
We study high-probability convergence guarantees of learning on streaming data in the presence of heavy-tailed noise. In the proposed scenario, the model is updated in an online fa…