Distributed Trust-Region Method With First Order Models. - Aleksandar Armacki; Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (EUROCON, 2019)

Gradient Based Clustering. - Aleksandar Armacki; Dragana Bajovic; Dusan Jakovetic; Soummya Kar (ICML, 2022)

Personalized Federated Learning via Convex Clustering. - Aleksandar Armacki; Dragana Bajovic; Dusan Jakovetic; Soummya Kar (ISC2, 2022)

One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments. - Aleksandar Armacki; Dragana Bajovic; Dusan Jakovetic; Soummya Kar (CoRR, 2022)

Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. - Aleksandar Armacki; Nemanja Milosevic; Dragana Bajovic; Soummya Kar; Dusan Jakovetic; Arian Bakhtiarnia; Lukas Esterle; Adrian Muscat; Thomas Festi (EUSIPCO, 2023)

High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise. - Aleksandar Armacki; Pranay Sharma; Gauri Joshi; Dragana Bajovic; Dusan Jakovetic; Soummya Kar (CoRR, 2023)

Distributed Gradient Clustering: Convergence and the Effect of Initialization. - Aleksandar Armacki; Himkant Sharma; Dragana Bajovic; Dusan Jakovetic; Mrityunjoy Chakraborty; Soummya Kar (IEEECONF, 2024)

A Unified Framework for Gradient-based Clustering of Distributed Data. - Aleksandar Armacki; Dragana Bajovic; Dusan Jakovetic; Soummya Kar (CoRR, 2024)

Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees. - Aleksandar Armacki; Shuhua Yu; Pranay Sharma; Gauri Joshi; Dragana Bajovic; Dusan Jakovetic; Soummya Kar (CoRR, 2024)

Large Deviations and Improved Mean-squared Error Rates of Nonlinear SGD: Heavy-tailed Noise and Power of Symmetry. - Aleksandar Armacki; Shuhua Yu; Dragana Bajovic; Dusan Jakovetic; Soummya Kar (CoRR, 2024)

A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments. - Aleksandar Armacki; Dragana Bajovic; Dusan Jakovetic; Soummya Kar (IEEE Trans. Signal Process., 2024)

High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise. - Aleksandar Armacki; Shuhua Yu; Pranay Sharma; Gauri Joshi; Dragana Bajovic; Dusan Jakovetic; Soummya Kar (AISTATS, 2025)

Distributed Center-Based Clustering: A Unified Framework. - Aleksandar Armacki; Dragana Bajovic; Dusan Jakovetic; Soummya Kar (IEEE Trans. Signal Process., 2025)

Optimal High-probability Convergence of Nonlinear SGD under Heavy-tailed Noise via Symmetrization. - Aleksandar Armacki; Dragana Bajovic; Dusan Jakovetic; Soummya Kar (CoRR, 2025)