Robust linear dimensionality reduction for hypothesis testing with application to sensor selection. - Dragana Bajovic; Bruno Sinopoli; João Xavier 001 (Allerton, 2009)

Sensor selection for hypothesis testing in wireless sensor networks: a Kullback-Leibler based approach. - Dragana Bajovic; Bruno Sinopoli; João Manuel Freitas Xavier (CDC, 2009)

Distributed detection over time varying networks: Large deviations analysis. - Dragana Bajovic; Dusan Jakovetic; João Xavier 001; Bruno Sinopoli; José M. F. Moura (Allerton, 2010)

Distributed Detection over Random Networks: Large Deviations Performance Analysis - Dragana Bajovic; Dusan Jakovetic; João Manuel Freitas Xavier; Bruno Sinopoli; José M. F. Moura (CoRR, 2010)

Large deviations analysis of consensus+innovations detection in random networks. - Dragana Bajovic; Dusan Jakovetic; José M. F. Moura; João Manuel Freitas Xavier; Bruno Sinopoli (Allerton, 2011)

Asymptotic performance of distributed detection over random networks. - Dragana Bajovic; Dusan Jakovetic; João Manuel Freitas Xavier; Bruno Sinopoli; José M. F. Moura (ICASSP, 2011)

Distributed Detection via Gaussian Running Consensus: Large Deviations Asymptotic Analysis. - Dragana Bajovic; Dusan Jakovetic; João Manuel Freitas Xavier; Bruno Sinopoli; José M. F. Moura (IEEE Trans. Signal Process., 2011)

Sensor Selection for Event Detection in Wireless Sensor Networks. - Dragana Bajovic; Bruno Sinopoli; João Manuel Freitas Xavier (IEEE Trans. Signal Process., 2011)

Products of stochastic matrices: Large deviation rate for Markov chain temporal dependencies. - Dragana Bajovic; João Manuel Freitas Xavier; Bruno Sinopoli (Allerton Conference, 2012)

Exact rate for convergence in probability of averaging processes via generalized min-cut. - Dragana Bajovic; João Manuel Freitas Xavier; José M. F. Moura; Bruno Sinopoli (CDC, 2012)

Large Deviations Performance of Consensus+Innovations Distributed Detection With Non-Gaussian Observations. - Dragana Bajovic; Dusan Jakovetic; José M. F. Moura; João Manuel Freitas Xavier; Bruno Sinopoli (IEEE Trans. Signal Process., 2012)

Consensus and Products of Random Stochastic Matrices: Exact Rate for Convergence in Probability. - Dragana Bajovic; João Manuel Freitas Xavier; José M. F. Moura; Bruno Sinopoli (IEEE Trans. Signal Process., 2013)

Slotted Aloha for networked base stations. - Dragana Bajovic; Dusan Jakovetic; Dejan Vukobratovic; Vladimir S. Crnojevic (ICC Workshops, 2014)

Slotted Aloha for networked base stations with spatial and temporal diversity. - Dusan Jakovetic; Dragana Bajovic; Dejan Vukobratovic; Vladimir S. Crnojevic (ISIT, 2014)

Distributed estimation of sparse user activity for multi-base station on-off random access. - Dusan Jakovetic; Dragana Bajovic; Dejan Vukobratovic (ICC Workshops, 2015)

Distributed storage allocations for neighborhood-based data access. - Dusan Jakovetic; Aleksandar Minja; Dragana Bajovic; Dejan Vukobratovic (ITW, 2015)

Cooperative Slotted Aloha for Multi-Base Station Systems. - Dusan Jakovetic; Dragana Bajovic; Dejan Vukobratovic; Vladimir S. Crnojevic (IEEE Trans. Commun., 2015)

Distributed first and second order methods with increasing number of working nodes. - Dusan Jakovetic; Natasa Krklec Jerinkic; Natasa Krejic; Dragana Bajovic (GlobalSIP, 2016)

Network function computation as a service in future 5G machine type communications. - Dejan Vukobratovic; Dusan Jakovetic; Vitaly Skachek; Dragana Bajovic; Dino Sejdinovic (ISTC, 2016)

CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT. - Dejan Vukobratovic; Dusan Jakovetic; Vitaly Skachek; Dragana Bajovic; Dino Sejdinovic; Günes Karabulut-Kurt; Camilla Hollanti; Ingo Fischer (IEEE Access, 2016)

Distributed Inference Over Directed Networks: Performance Limits and Optimal Design. - Dragana Bajovic; José M. F. Moura; João Xavier 001; Bruno Sinopoli (IEEE Trans. Signal Process., 2016)

Distributed Gradient Methods with Variable Number of Working Nodes. - Dusan Jakovetic; Dragana Bajovic; Natasa Krejic; Natasa Krklec Jerinkic (IEEE Trans. Signal Process., 2016)

Cooperative Slotted ALOHA for massive M2M random access using directional antennas. - Aleksandar Mastilovic; Dejan Vukobratovic; Dusan Jakovetic; Dragana Bajovic (ICC Workshops, 2017)

Distributed second order methods with variable number of working nodes. - Dragana Bajovic; Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (CoRR, 2017)

Optimal detection and error exponents for hidden multi-state processes via random duration model approach. - Dragana Bajovic; Kanghang He; Lina Stankovic; Dejan Vukobratovic; Vladimir Stankovic 001 (CoRR, 2017)

Newton-like Method with Diagonal Correction for Distributed Optimization. - Dragana Bajovic; Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (SIAM J. Optim., 2017)

Convergence Rates for Distributed Stochastic Optimization Over Random Networks. - Dusan Jakovetic; Dragana Bajovic; Anit Kumar Sahu; Soummya Kar (CDC, 2018)

Distributed Zeroth Order Optimization Over Random Networks: A Kiefer-Wolfowitz Stochastic Approximation Approach. - Anit Kumar Sahu; Dusan Jakovetic; Dragana Bajovic; Soummya Kar (CDC, 2018)

Non-Asymptotic Rates for Communication Efficient Distributed Zeroth Order Strongly Convex Optimization. - Anit Kumar Sahu; Dusan Jakovetic; Dragana Bajovic; Soummya Kar (GlobalSIP, 2018)

Virtual microgrids: a management concept for peer-to-peer energy trading. - Kelvin O. O. Anoh; Augustine Ikpehai; Dragana Bajovic; Olamide Jogunola; Bamidele Adebisi; Dejan Vukobratovic; Mohammad Hammoudeh (ICFNDS, 2018)

Distributed Energy Trading with Communication Constraints. - Kelvin O. O. Anoh; Dragana Bajovic; Dejan Vukobratovic; Bamidele Adebisi; Dusan Jakovetic; Mirsad Cosovic (ISGT Europe, 2018)

Large Deviations for Products of Non-I.i.d. Stochastic Matrices with Application to Distributed Detection. - Dragana Bajovic; Dusan Jakovetic; Anit Kumar Sahu; Soummya Kar (ISIT, 2018)

Communication efficient distributed weighted non-linear least squares estimation. - Anit Kumar Sahu; Dusan Jakovetic; Dragana Bajovic; Soummya Kar (EURASIP J. Adv. Signal Process., 2018)

Optimal Detection and Error Exponents for Hidden Semi-Markov Models. - Dragana Bajovic; Kanghang He; Lina Stankovic; Dejan Vukobratovic; Vladimir Stankovic 001 (IEEE J. Sel. Top. Signal Process., 2018)

Enabling Peer to Peer Energy Trading in Virtual Microgrids with LP-WAN. - Kelvin O. O. Anoh; Dragana Bajovic; Augustine Ikpehai; Bamidele Adebisi; Dejan Vukobratovic (EUROCON, 2019)

Scheduling in 6TiSCH Networks via Max-Product Message-Passing. - Tijana Devaja; Dragana Bajovic; Dejan Vukobratovic; Gordana Gardasevic (EUROCON, 2019)

Communication Efficient Distributed Estimation Over Directed Random Graphs. - Anit Kumar Sahu; Dusan Jakovetic; Dragana Bajovic; Soummya Kar (EUROCON, 2019)

Distributed Energy Trading via Cellular Internet of Things and Mobile Edge Computing. - Dejan Vukobratovic; Dragana Bajovic; Kelvin O. O. Anoh; Bamidele Adebisi (ICC, 2019)

Effect of External Daylight in Smart Dimmable LED Lighting Systems. - Milica I. Petkovic; Dragana Bajovic; Dejan Vukobratovic; Graeme McCutcheon; Lina Stankovic; Vladimir Stankovic 001 (WOCC, 2019)

Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models. - Mirsad Cosovic; Tijana Devaja; Dragana Bajovic; Juraj Machaj; Graeme McCutcheon; Vladimir Stankovic 001; Lina Stankovic; Dejan Vukobratovic (CoRR, 2019)

Primal-dual optimization methods for large-scale and distributed data analytics. - Dusan Jakovetic; Dragana Bajovic; João Xavier 001; José M. F. Moura (CoRR, 2019)

Detecting Random Walks on Graphs With Heterogeneous Sensors. - Dragana Bajovic; José M. F. Moura; Dejan Vukobratovic (IEEE Trans. Inf. Theory, 2019)

Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics. - Dusan Jakovetic; Dragana Bajovic; João Xavier 001; José M. F. Moura (Proc. IEEE, 2020)

Distributed Second-Order Methods With Increasing Number of Working Nodes. - Natasa Krklec Jerinkic; Dusan Jakovetic; Natasa Krejic; Dragana Bajovic (IEEE Trans. Autom. Control., 2020)

Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics. - Milos Savic 001; Milan Lukic; Dragan Danilovic; Zarko Bodroski; Dragana Bajovic; Ivan Mezei; Dejan Vukobratovic; Srdjan Skrbic; Dusan Jakovetic (IEEE Access, 2021)

Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration. - Dejan Vukobratovic; Milan Lukic; Ivan Mezei; Dragana Bajovic; Dragan Danilovic; Milos Savic 001; Zarko Bodroski; Srdjan Skrbic; Dusan Jakovetic (EUSIPCO, 2022)

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)

Smart Dimmable LED Lighting Systems †. - Milica I. Petkovic; Dragana Bajovic; Dejan Vukobratovic; Juraj Machaj; Peter Brida; Graeme McCutcheon; Lina Stankovic; Vladimir Stankovic 001 (Sensors, 2022)

Large deviations rates for stochastic gradient descent with strongly convex functions. - Dragana Bajovic; Dusan Jakovetic; Soummya Kar (AISTATS, 2023)

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)

Dynamic Split Computing for Efficient Deep EDGE Intelligence. - Arian Bakhtiarnia; Nemanja Milosevic; Qi Zhang 013; Dragana Bajovic; Alexandros Iosifidis (ICASSP, 2023)

Maximising Power-Network Utility with Delivery Contracts in Energy Peer-to-Peer Trading. - Kelvin O. O. Anoh; Dejan Vukobratovic; Thomas Morstyn; Dragana Bajovic; Bamidele Adebisi (SmartGridComm, 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)

Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise. - Dusan Jakovetic; Dragana Bajovic; Anit Kumar Sahu; Soummya Kar; Nemanja Milosevic; Dusan Stamenkovic (SIAM J. Optim., 2023)

Large Deviations for Products of Non-Identically Distributed Network Matrices With Applications to Communication-Efficient Distributed Learning and Inference. - Nemanja Petrovic; Dragana Bajovic; Soummya Kar; Dusan Jakovetic; Anit Kumar Sahu (IEEE Trans. Signal Process., 2023)

Distributed Recursive Estimation under Heavy-Tail Communication Noise. - Dusan Jakovetic; Manojlo Vukovic; Dragana Bajovic; Anit Kumar Sahu; Soummya Kar (SIAM J. Control. Optim., 2023)

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

UNS Exterior Spatial Sound Events Dataset for Urban Monitoring. - Sinisa Suzic; Irene Martín-Morató; Nikola Simic; Charitha Raghavaraju; Toni Heittola; Vuk Stanojev; Dragana Bajovic (EUSIPCO, 2024)

Multimodal Emotion Recognition Using Compressed Graph Neural Networks. - Tijana Durkic; Nikola Simic; Sinisa Suzic; Dragana Bajovic; Zoran Peric; Vlado Delic (SPECOM (2), 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)

Inaccuracy Rates for Distributed Inference Over Random Networks With Applications to Social Learning. - Dragana Bajovic (IEEE Trans. Inf. Theory, 2024)

Nonlinear Consensus+Innovations under Correlated Heavy-Tailed Noises: Mean Square Convergence Rate and Asymptotics. - Manojlo Vukovic; Dusan Jakovetic; Dragana Bajovic; Soummya Kar (SIAM J. Control. Optim., 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)

Distributed gradient methods under heavy-tailed communication noise. - Manojlo Vukovic; Dusan Jakovetic; Dragana Bajovic; Soummya Kar (CoRR, 2025)

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