| Issue Date | Title | Author(s) | Type | Мp-cat. |
|---|---|---|---|---|
| 2026 | Large Deviation Upper Bounds and Improved Mse Rates of Nonlinear Sgd: Heavy-Tailed Noise and Power of Symmetry![]() | Armacki, Aleksandar; Yu, Shuhua; Bajović, Dragana | Article | 21aM21a |
| 2025 | Multimodal Emotion Recognition Using Compressed Graph Neural Networks![]() | Đurkić, Tijana; Simić, Nikola | Conference Paper | Mp. category will be shown later |
| 2025 | High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise![]() | Armacki, Aleksandar; Yu, Shuhua; Sharma, Pranay; Joshi, Gauri; Bajović, Dragana | Conference Paper | Mp. category will be shown later |
| 2025 | Distributed Center-Based Clustering: A Unified Framework![]() | Armacki, Aleksandar; Bajovic, Dragana | Article | 21M21 |
| 2024 | UNS Exterior Spatial Sound Events dataset for urban monitoring![]() | Suzic, Sinisa B | Conference Paper | Mp. category will be shown later |
| 2024 | Nonlinear Consensus+Innovations under Correlated Heavy-Tailed Noises: Mean Square Convergence Rate and Asymptotics![]() | Vukovic, Manojlo | Article | 21aM21a |
| 2024 | A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments![]() | Armacki, Aleksandar; Bajovic, Dragana | Article | 21aM21a |
| 2024 | Inaccuracy Rates for Distributed Inference Over Random Networks With Applications to Social Learning![]() | Bajović, Dragana | Article | 21aM21a |
| 2024 | Distributed Gradient Clustering: Convergence and the Effect of Initialization![]() | Armacki, Aleksandar; Sharma, Himkant; Bajović, Dragana | Conference Paper | Mp. category will be shown later |
| 2024 | Enhancing Emotion Recognition through Federated Learning: A Multimodal Approach with Convolutional Neural Networks![]() | Simić, Nikola | Article | 21M21 |
| 2023 | Distributed Recursive Estimation under Heavy-Tail Communication Noise![]() | Jakovetić, Dušan | Article | 21aM21a |
| 2023 | Large Deviations for Products of Non-Identically Distributed Network Matrices With Applications to Communication-Efficient Distributed Learning and Inference![]() | Petrović, Nemanja | Article | 21aM21a |
| 2023 | Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise![]() | Jakovetić, Dušan | Article | 21a+M21a+ |
| 2023 | Large deviations rates for stochastic gradient descent with strongly convex functions![]() | Bajović, Dragana | Conference Paper | Mp. category will be shown later |
| 2022 | Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration![]() | Vukobratović, Dejan | Conference Paper | Mp. category will be shown later |
| 2022 | Smart Dimmable LED Lighting Systems![]() | Petković, Milica | Article | 21M21 |
| 2022 | Gradient Based Clustering![]() | Armacki, Aleksandar; Bajovic, Dragana | Conference Paper | Mp. category will be shown later |
| 2021 | Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics![]() | Savic, Milos | Article | 21M21 |
| 2020 | Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics![]() | Jakovetić, Dušan | Article | 21a+M21a+ |
| 2020 | Bežične senzorske mreže u IoT primenama![]() | Vukobratović, Dejan | Text book | Mp. category will be shown later |