Dragana Bajovic

97 papers A* 1A 2B 3Misc 2Journal 61Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributed Gradient Clustering: Convergence and the Effect of Initialization. CoRR Aleksandar Armacki, Himkant Sharma, Dragana Bajovic, Dusan Jakovetic, Mrityunjoy Chakraborty, Soummya Kar
2026	J	`jnl`	Large Deviation Upper Bounds and Improved MSE Rates of Nonlinear SGD: Heavy-Tailed Noise and Power of Symmetry. SIAM J. Optim. Aleksandar Armacki, Shuhua Yu, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2026	J	`jnl`	Tackling heavy-tailed noise in distributed estimation: Asymptotic performance and tradeoffs. CoRR Dragana Bajovic, Dusan Jakovetic, Soummya Kar, Manojlo Vukovic
2026	J	`jnl`	Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization. CoRR Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar, Ali H. Sayed
2025	J	`jnl`	Distributed Center-Based Clustering: A Unified Framework. IEEE Trans. Signal Process. Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2025	J	`jnl`	Distributed gradient methods under heavy-tailed communication noise. CoRR Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2025	A	`conf`	High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise. AISTATS Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2025	J	`jnl`	Optimal High-probability Convergence of Nonlinear SGD under Heavy-tailed Noise via Symmetrization. CoRR Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2024	J	`jnl`	A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments. IEEE Trans. Signal Process. Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2024	J	`jnl`	A Unified Framework for Gradient-based Clustering of Distributed Data. CoRR Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2024	—	`conf`	Distributed Gradient Clustering: Convergence and the Effect of Initialization. IEEECONF Aleksandar Armacki, Himkant Sharma, Dragana Bajovic, Dusan Jakovetic, Mrityunjoy Chakraborty, Soummya Kar
2024	J	`jnl`	Inaccuracy Rates for Distributed Inference Over Random Networks With Applications to Social Learning. IEEE Trans. Inf. Theory Dragana Bajovic
2024	J	`jnl`	Large Deviations and Improved Mean-squared Error Rates of Nonlinear SGD: Heavy-tailed Noise and Power of Symmetry. CoRR Aleksandar Armacki, Shuhua Yu, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2024	—	`conf`	Multimodal Emotion Recognition Using Compressed Graph Neural Networks. SPECOM (2) Tijana Durkic, Nikola Simic, Sinisa Suzic, Dragana Bajovic, Zoran Peric, Vlado Delic
2024	J	`jnl`	Nonlinear Consensus+Innovations under Correlated Heavy-Tailed Noises: Mean Square Convergence Rate and Asymptotics. SIAM J. Control. Optim. Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2024	J	`jnl`	Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees. CoRR Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2024	—	`conf`	UNS Exterior Spatial Sound Events Dataset for Urban Monitoring. EUSIPCO Sinisa Suzic, Irene Martín-Morató, Nikola Simic, Charitha Raghavaraju, Toni Heittola, Vuk Stanojev, Dragana Bajovic
2023	—	`conf`	Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. EUSIPCO Aleksandar Armacki, Nemanja Milosevic, Dragana Bajovic, Soummya Kar, Dusan Jakovetic, Arian Bakhtiarnia, Lukas Esterle, Adrian Muscat, Thomas Festi
2023	J	`jnl`	Distributed Recursive Estimation under Heavy-Tail Communication Noise. SIAM J. Control. Optim. Dusan Jakovetic, Manojlo Vukovic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar
2023	Misc	`conf`	Dynamic Split Computing for Efficient Deep EDGE Intelligence. ICASSP Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis
2023	J	`jnl`	High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise. CoRR Aleksandar Armacki, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2023	J	`jnl`	Large Deviations for Products of Non-Identically Distributed Network Matrices With Applications to Communication-Efficient Distributed Learning and Inference. IEEE Trans. Signal Process. Nemanja Petrovic, Dragana Bajovic, Soummya Kar, Dusan Jakovetic, Anit Kumar Sahu
2023	A	`conf`	Large deviations rates for stochastic gradient descent with strongly convex functions. AISTATS Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2023	—	`conf`	Maximising Power-Network Utility with Delivery Contracts in Energy Peer-to-Peer Trading. SmartGridComm Kelvin O. O. Anoh, Dejan Vukobratovic, Thomas Morstyn, Dragana Bajovic, Bamidele Adebisi
2023	J	`jnl`	Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise. SIAM J. Optim. Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic
2022	J	`jnl`	Dynamic Split Computing for Efficient Deep Edge Intelligence. CoRR Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis
2022	—	`conf`	Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration. EUSIPCO Dejan Vukobratovic, Milan Lukic, Ivan Mezei, Dragana Bajovic, Dragan Danilovic, Milos Savic, Zarko Bodroski, Srdjan Skrbic, Dusan Jakovetic
2022	A*	`conf`	Gradient Based Clustering. ICML Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2022	J	`jnl`	Gradient Based Clustering. CoRR Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2022	J	`jnl`	Inaccuracy rates for distributed inference over random networks with applications to social learning. CoRR Dragana Bajovic
2022	J	`jnl`	Large deviations rates for stochastic gradient descent with strongly convex functions. CoRR Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2022	J	`jnl`	Nonlinear consensus+innovations under correlated heavy-tailed noises: Mean square convergence rate and asymptotics. CoRR Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2022	J	`jnl`	Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise. CoRR Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic
2022	J	`jnl`	One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments. CoRR Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2022	—	`conf`	Personalized Federated Learning via Convex Clustering. ISC2 Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2022	J	`jnl`	Personalized Federated Learning via Convex Clustering. CoRR Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2022	J	`jnl`	Smart Dimmable LED Lighting Systems †. Sensors Milica I. Petkovic, Dragana Bajovic, Dejan Vukobratovic, Juraj Machaj, Peter Brida, Graeme McCutcheon, Lina Stankovic, Vladimir Stankovic
2021	J	`jnl`	Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics. IEEE Access Milos Savic, Milan Lukic, Dragan Danilovic, Zarko Bodroski, Dragana Bajovic, Ivan Mezei, Dejan Vukobratovic, Srdjan Skrbic, Dusan Jakovetic
2021	J	`jnl`	Deep Learning Anomaly Detection for Cellular IoT with Applications in Smart Logistics. CoRR Milos Savic, Milan Lukic, Dragan Danilovic, Zarko Bodroski, Dragana Bajovic, Ivan Mezei, Dejan Vukobratovic, Srdjan Skrbic, Dusan Jakovetic
2020	J	`jnl`	Distributed Second-Order Methods With Increasing Number of Working Nodes. IEEE Trans. Autom. Control. Natasa Krklec Jerinkic, Dusan Jakovetic, Natasa Krejic, Dragana Bajovic
2020	J	`jnl`	Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics. Proc. IEEE Dusan Jakovetic, Dragana Bajovic, João Xavier, José M. F. Moura
2019	—	`conf`	Communication Efficient Distributed Estimation Over Directed Random Graphs. EUROCON Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2019	J	`jnl`	Detecting Random Walks on Graphs With Heterogeneous Sensors. IEEE Trans. Inf. Theory Dragana Bajovic, José M. F. Moura, Dejan Vukobratovic
2019	—	`conf`	Distributed Energy Trading via Cellular Internet of Things and Mobile Edge Computing. ICC Dejan Vukobratovic, Dragana Bajovic, Kelvin O. O. Anoh, Bamidele Adebisi
2019	J	`jnl`	Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models. CoRR Mirsad Cosovic, Tijana Devaja, Dragana Bajovic, Juraj Machaj, Graeme McCutcheon, Vladimir Stankovic, Lina Stankovic, Dejan Vukobratovic
2019	—	`conf`	Effect of External Daylight in Smart Dimmable LED Lighting Systems. WOCC Milica I. Petkovic, Dragana Bajovic, Dejan Vukobratovic, Graeme McCutcheon, Lina Stankovic, Vladimir Stankovic
2019	—	`conf`	Enabling Peer to Peer Energy Trading in Virtual Microgrids with LP-WAN. EUROCON Kelvin O. O. Anoh, Dragana Bajovic, Augustine Ikpehai, Bamidele Adebisi, Dejan Vukobratovic
2019	J	`jnl`	Primal-dual optimization methods for large-scale and distributed data analytics. CoRR Dusan Jakovetic, Dragana Bajovic, João Xavier, José M. F. Moura
2019	—	`conf`	Scheduling in 6TiSCH Networks via Max-Product Message-Passing. EUROCON Tijana Devaja, Dragana Bajovic, Dejan Vukobratovic, Gordana Gardasevic
2018	J	`jnl`	Communication efficient distributed weighted non-linear least squares estimation. EURASIP J. Adv. Signal Process. Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2018	—	`conf`	Convergence Rates for Distributed Stochastic Optimization Over Random Networks. CDC Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar
2018	—	`conf`	Distributed Energy Trading with Communication Constraints. ISGT Europe Kelvin O. O. Anoh, Dragana Bajovic, Dejan Vukobratovic, Bamidele Adebisi, Dusan Jakovetic, Mirsad Cosovic
2018	—	`conf`	Distributed Zeroth Order Optimization Over Random Networks: A Kiefer-Wolfowitz Stochastic Approximation Approach. CDC Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2018	B	`conf`	Large Deviations for Products of Non-I.i.d. Stochastic Matrices with Application to Distributed Detection. ISIT Dragana Bajovic, Dusan Jakovetic, Anit Kumar Sahu, Soummya Kar
2018	—	`conf`	Non-Asymptotic Rates for Communication Efficient Distributed Zeroth Order Strongly Convex Optimization. GlobalSIP Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2018	J	`jnl`	Optimal Detection and Error Exponents for Hidden Semi-Markov Models. IEEE J. Sel. Top. Signal Process. Dragana Bajovic, Kanghang He, Lina Stankovic, Dejan Vukobratovic, Vladimir Stankovic
2018	—	`conf`	Virtual microgrids: a management concept for peer-to-peer energy trading. ICFNDS Kelvin O. O. Anoh, Augustine Ikpehai, Dragana Bajovic, Olamide Jogunola, Bamidele Adebisi, Dejan Vukobratovic, Mohammad Hammoudeh
2017	J	`jnl`	Cooperative Slotted ALOHA for Massive M2M Random Access Using Directional Antennas. CoRR Aleksandar Mastilovic, Dejan Vukobratovic, Dusan Jakovetic, Dragana Bajovic
2017	—	`conf`	Cooperative Slotted ALOHA for massive M2M random access using directional antennas. ICC Workshops Aleksandar Mastilovic, Dejan Vukobratovic, Dusan Jakovetic, Dragana Bajovic
2017	J	`jnl`	Detecting random walks on graphs with heterogeneous sensors. CoRR Dragana Bajovic, José M. F. Moura, Dejan Vukobratovic
2017	J	`jnl`	Distributed second order methods with variable number of working nodes. CoRR Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2017	J	`jnl`	Newton-like Method with Diagonal Correction for Distributed Optimization. SIAM J. Optim. Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2017	J	`jnl`	Optimal detection and error exponents for hidden multi-state processes via random duration model approach. CoRR Dragana Bajovic, Kanghang He, Lina Stankovic, Dejan Vukobratovic, Vladimir Stankovic
2016	J	`jnl`	CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT. IEEE Access Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic, Günes Karabulut-Kurt, Camilla Hollanti, Ingo Fischer
2016	J	`jnl`	CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT. CoRR Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic, Gunes Karabulut-Kurt, Camilla Hollanti, Ingo Fischer
2016	J	`jnl`	Distributed Gradient Methods with Variable Number of Working Nodes. IEEE Trans. Signal Process. Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic
2016	J	`jnl`	Distributed Inference Over Directed Networks: Performance Limits and Optimal Design. IEEE Trans. Signal Process. Dragana Bajovic, José M. F. Moura, João Xavier, Bruno Sinopoli
2016	—	`conf`	Distributed first and second order methods with increasing number of working nodes. GlobalSIP Dusan Jakovetic, Natasa Krklec Jerinkic, Natasa Krejic, Dragana Bajovic
2016	—	`conf`	Network function computation as a service in future 5G machine type communications. ISTC Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic
2015	J	`jnl`	Cooperative Slotted Aloha for Multi-Base Station Systems. IEEE Trans. Commun. Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
2015	J	`jnl`	Distributed Gradient Methods with Variable Number of Working Nodes. CoRR Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic
2015	—	`conf`	Distributed estimation of sparse user activity for multi-base station on-off random access. ICC Workshops Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic
2015	J	`jnl`	Distributed inference over directed networks: Performance limits and optimal design. CoRR Dragana Bajovic, José M. F. Moura, João M. F. Xavier, Bruno Sinopoli
2015	B	`conf`	Distributed storage allocations for neighborhood-based data access. ITW Dusan Jakovetic, Aleksandar Minja, Dragana Bajovic, Dejan Vukobratovic
2015	J	`jnl`	Newton-like method with diagonal correction for distributed optimization. CoRR Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2014	J	`jnl`	Cooperative Slotted Aloha for Multi-Base Station Systems. CoRR Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
2014	J	`jnl`	Distributed Storage Allocations for Neighborhood-based Data Access. CoRR Dusan Jakovetic, Aleksandar Minja, Dragana Bajovic, Dejan Vukobratovic
2014	J	`jnl`	Slotted Aloha for Networked Base Stations with Spatial and Temporal Diversity. CoRR Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
2014	J	`jnl`	Slotted Aloha for Networked Base Stations. CoRR Dragana Bajovic, Dusan Jakovetic, Dejan Vukobratovic, Vladimir S. Crnojevic
2014	B	`conf`	Slotted Aloha for networked base stations with spatial and temporal diversity. ISIT Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
2014	—	`conf`	Slotted Aloha for networked base stations. ICC Workshops Dragana Bajovic, Dusan Jakovetic, Dejan Vukobratovic, Vladimir S. Crnojevic
2013	J	`jnl`	Consensus and Products of Random Stochastic Matrices: Exact Rate for Convergence in Probability. IEEE Trans. Signal Process. Dragana Bajovic, João Manuel Freitas Xavier, José M. F. Moura, Bruno Sinopoli
2012	J	`jnl`	Consensus and Products of Random Stochastic Matrices: Exact Rate for Convergence in Probability CoRR Dragana Bajovic, João Manuel Freitas Xavier, José M. F. Moura, Bruno Sinopoli
2012	—	`conf`	Exact rate for convergence in probability of averaging processes via generalized min-cut. CDC Dragana Bajovic, João Manuel Freitas Xavier, José M. F. Moura, Bruno Sinopoli
2012	J	`jnl`	Large Deviations Performance of Consensus+Innovations Distributed Detection With Non-Gaussian Observations. IEEE Trans. Signal Process. Dragana Bajovic, Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier, Bruno Sinopoli
2012	—	`conf`	Products of stochastic matrices: Large deviation rate for Markov chain temporal dependencies. Allerton Conference Dragana Bajovic, João Manuel Freitas Xavier, Bruno Sinopoli
2011	Misc	`conf`	Asymptotic performance of distributed detection over random networks. ICASSP Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura
2011	J	`jnl`	Distributed Detection via Gaussian Running Consensus: Large Deviations Asymptotic Analysis. IEEE Trans. Signal Process. Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura
2011	J	`jnl`	Large Deviations Performance of Consensus+Innovations Distributed Detection with Non-Gaussian Observations CoRR Dragana Bajovic, Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier, Bruno Sinopoli
2011	—	`conf`	Large deviations analysis of consensus+innovations detection in random networks. Allerton Dragana Bajovic, Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier, Bruno Sinopoli
2011	J	`jnl`	Sensor Selection for Event Detection in Wireless Sensor Networks. IEEE Trans. Signal Process. Dragana Bajovic, Bruno Sinopoli, João Manuel Freitas Xavier
2010	J	`jnl`	Distributed Detection over Random Networks: Large Deviations Performance Analysis CoRR Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura
2010	J	`jnl`	Distributed Detection over Time Varying Networks: Large Deviations Analysis CoRR Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura
2010	—	`conf`	Distributed detection over time varying networks: Large deviations analysis. Allerton Dragana Bajovic, Dusan Jakovetic, João Xavier, Bruno Sinopoli, José M. F. Moura
2010	J	`jnl`	Sensor Selection for Event Detection in Wireless Sensor Networks CoRR Dragana Bajovic, Bruno Sinopoli, João Manuel Freitas Xavier
2009	—	`conf`	Robust linear dimensionality reduction for hypothesis testing with application to sensor selection. Allerton Dragana Bajovic, Bruno Sinopoli, João Xavier
2009	—	`conf`	Sensor selection for hypothesis testing in wireless sensor networks: a Kullback-Leibler based approach. CDC Dragana Bajovic, Bruno Sinopoli, João Manuel Freitas Xavier