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ORCIDAleksandar Armacki
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2020 – today
- 2026
[j3]Aleksandar Armacki
, Shuhua Yu, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Large Deviation Upper Bounds and Improved MSE Rates of Nonlinear SGD: Heavy-Tailed Noise and Power of Symmetry. SIAM J. Optim. 36(1): 32-59 (2026)- [i11]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar, Ali H. Sayed:
Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization. CoRR abs/2602.05657 (2026) - [i10]Aleksandar Armacki, Himkant Sharma, Dragana Bajovic, Dusan Jakovetic, Mrityunjoy Chakraborty, Soummya Kar:
Distributed Gradient Clustering: Convergence and the Effect of Initialization. CoRR abs/2603.20507 (2026) - 2025
- [j2]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Distributed Center-Based Clustering: A Unified Framework. IEEE Trans. Signal Process. 73: 903-918 (2025) - [c7]Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise. AISTATS 2025: 1774-1782 - [c6]Aleksandar Armacki, Soummya Kar:
Toward Understanding the Improved Robustness to Initialization in Distributed Clustering. EUSIPCO 2025: 1045-1049 - [i9]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Optimal High-probability Convergence of Nonlinear SGD under Heavy-tailed Noise via Symmetrization. CoRR abs/2507.09093 (2025) - [i8]Aleksandar Armacki, Ali H. Sayed:
Improved High-probability Convergence Guarantees of Decentralized SGD. CoRR abs/2510.06141 (2025) - 2024
- [j1]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments. IEEE Trans. Signal Process. 72: 636-651 (2024) - [c5]Aleksandar Armacki, Himkant Sharma, Dragana Bajovic, Dusan Jakovetic, Mrityunjoy Chakraborty, Soummya Kar:
Distributed Gradient Clustering: Convergence and the Effect of Initialization. IEEECONF 2024: 1461-1465 - [i7]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
A Unified Framework for Gradient-based Clustering of Distributed Data. CoRR abs/2402.01302 (2024) - [i6]Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees. CoRR abs/2410.13954 (2024) - [i5]Aleksandar Armacki, Shuhua Yu, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Large Deviations and Improved Mean-squared Error Rates of Nonlinear SGD: Heavy-tailed Noise and Power of Symmetry. CoRR abs/2410.15637 (2024) - 2023
- [c4]Aleksandar Armacki, Nemanja Milosevic, Dragana Bajovic, Soummya Kar, Dusan Jakovetic, Arian Bakhtiarnia, Lukas Esterle, Adrian Muscat, Thomas Festi:
Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. EUSIPCO 2023: 875-879 - [i4]Aleksandar Armacki, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise. CoRR abs/2310.18784 (2023) - 2022
- [c3]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Gradient Based Clustering. ICML 2022: 929-947 - [c2]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Personalized Federated Learning via Convex Clustering. ISC2 2022: 1-7 - [i3]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Personalized Federated Learning via Convex Clustering. CoRR abs/2202.00718 (2022) - [i2]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Gradient Based Clustering. CoRR abs/2202.00720 (2022) - [i1]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments. CoRR abs/2209.10866 (2022)
2010 – 2019
- 2019
- [c1]Aleksandar Armacki, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic:
Distributed Trust-Region Method With First Order Models. EUROCON 2019: 1-6
Coauthor Index
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