Dragana Bajovic

According to our database, Dragana Bajovic authored at least 66 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., February, 2024

Inaccuracy Rates for Distributed Inference Over Random Networks With Applications to Social Learning.

Dragana Bajovic

IEEE Trans. Inf. Theory, January, 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

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

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

A Unified Framework for Gradient-based Clustering of Distributed Data.

Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar

CoRR, 2024

Multimodal Emotion Recognition Using Compressed Graph Neural Networks.

Tijana Durkic, Nikola Simic, Sinisa Suzic, Dragana Bajovic, Zoran Peric, Vlado Delic

Proceedings of the Speech and Computer - 26th International Conference, 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

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Distributed Recursive Estimation under Heavy-Tail Communication Noise.

Dusan Jakovetic, Manojlo Vukovic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar

SIAM J. Control. Optim., June, 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

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

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

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

Proceedings of the IEEE International Conference on Communications, 2023

Dynamic Split Computing for Efficient Deep EDGE Intelligence.

Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the 31st European Signal Processing Conference, 2023

Large deviations rates for stochastic gradient descent with strongly convex functions.

Dragana Bajovic, Dusan Jakovetic, Soummya Kar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Smart Dimmable LED Lighting Systems †.

Milica I. Petkovic, Dragana Bajovic, Dejan Vukobratovic, Juraj Machaj, Peter Brida, Graeme McCutcheon, Lina Stankovic, Vladimir Stankovic

Sensors, 2022

One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments.

Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar

CoRR, 2022

Personalized Federated Learning via Convex Clustering.

Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar

Proceedings of the IEEE International Smart Cities Conference, 2022

Gradient Based Clustering.

Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar

Proceedings of the International Conference on Machine Learning, 2022

Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration.

Dejan Vukobratovic, Milan Lukic, Ivan Mezei, Dragana Bajovic, Dragan Danilovic, Milos Savic, Zarko Bodroski, Srdjan Skrbic, Dusan Jakovetic

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics.

Milos Savic, Milan Lukic, Dragan Danilovic, Zarko Bodroski, Dragana Bajovic, Ivan Mezei, Dejan Vukobratovic, Srdjan Skrbic, Dusan Jakovetic

IEEE Access, 2021

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

Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics.

Dusan Jakovetic, Dragana Bajovic, João Xavier, José M. F. Moura

Proc. IEEE, 2020

2019

Detecting Random Walks on Graphs With Heterogeneous Sensors.

Dragana Bajovic, José M. F. Moura, Dejan Vukobratovic

IEEE Trans. Inf. Theory, 2019

Primal-dual optimization methods for large-scale and distributed data analytics.

Dusan Jakovetic, Dragana Bajovic, João Xavier, José M. F. Moura

CoRR, 2019

Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models.

Mirsad Cosovic, Tijana Devaja, Dragana Bajovic, Juraj Machaj, Graeme McCutcheon, Vladimir Stankovic, Lina Stankovic, Dejan Vukobratovic

CoRR, 2019

Effect of External Daylight in Smart Dimmable LED Lighting Systems.

Milica I. Petkovic, Dragana Bajovic, Dejan Vukobratovic, Graeme McCutcheon, Lina Stankovic, Vladimir Stankovic

Proceedings of the 28th Wireless and Optical Communications Conference, 2019

Distributed Energy Trading via Cellular Internet of Things and Mobile Edge Computing.

Dejan Vukobratovic, Dragana Bajovic, Kelvin O. O. Anoh, Bamidele Adebisi

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Communication Efficient Distributed Estimation Over Directed Random Graphs.

Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar

Proceedings of the IEEE EUROCON 2019, 2019

Scheduling in 6TiSCH Networks via Max-Product Message-Passing.

Tijana Devaja, Dragana Bajovic, Dejan Vukobratovic, Gordana Gardasevic

Proceedings of the IEEE EUROCON 2019, 2019

Enabling Peer to Peer Energy Trading in Virtual Microgrids with LP-WAN.

Kelvin O. O. Anoh, Dragana Bajovic, Augustine Ikpehai, Bamidele Adebisi, Dejan Vukobratovic

Proceedings of the IEEE EUROCON 2019, 2019

2018

Optimal Detection and Error Exponents for Hidden Semi-Markov Models.

Dragana Bajovic, Kanghang He, Lina Stankovic, Dejan Vukobratovic, Vladimir Stankovic

IEEE J. Sel. Top. Signal Process., 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

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

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Distributed Energy Trading with Communication Constraints.

Kelvin O. O. Anoh, Dragana Bajovic, Dejan Vukobratovic, Bamidele Adebisi, Dusan Jakovetic, Mirsad Cosovic

Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 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

Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, 2018

Non-Asymptotic Rates for Communication Efficient Distributed Zeroth Order Strongly Convex Optimization.

Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Distributed Zeroth Order Optimization Over Random Networks: A Kiefer-Wolfowitz Stochastic Approximation Approach.

Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Convergence Rates for Distributed Stochastic Optimization Over Random Networks.

Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Newton-like Method with Diagonal Correction for Distributed Optimization.

Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic

SIAM J. Optim., 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

CoRR, 2017

Distributed second order methods with variable number of working nodes.

Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic

CoRR, 2017

Cooperative Slotted ALOHA for massive M2M random access using directional antennas.

Aleksandar Mastilovic, Dejan Vukobratovic, Dusan Jakovetic, Dragana Bajovic

Proceedings of the 2017 IEEE International Conference on Communications Workshops, 2017

2016

Distributed Gradient Methods with Variable Number of Working Nodes.

Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic

IEEE Trans. Signal Process., 2016

Distributed Inference Over Directed Networks: Performance Limits and Optimal Design.

Dragana Bajovic, José M. F. Moura, João Xavier, Bruno Sinopoli

IEEE Trans. Signal Process., 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

Network function computation as a service in future 5G machine type communications.

Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic

Proceedings of the 9th International Symposium on Turbo Codes and Iterative Information Processing, 2016

Distributed first and second order methods with increasing number of working nodes.

Dusan Jakovetic, Natasa Krklec Jerinkic, Natasa Krejic, Dragana Bajovic

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Cooperative Slotted Aloha for Multi-Base Station Systems.

Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic

IEEE Trans. Commun., 2015

Distributed storage allocations for neighborhood-based data access.

Dusan Jakovetic, Aleksandar Minja, Dragana Bajovic, Dejan Vukobratovic

Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Distributed estimation of sparse user activity for multi-base station on-off random access.

Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic

Proceedings of the IEEE International Conference on Communication, 2015

2014

Slotted Aloha for networked base stations with spatial and temporal diversity.

Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Slotted Aloha for networked base stations.

Dragana Bajovic, Dusan Jakovetic, Dejan Vukobratovic, Vladimir S. Crnojevic

Proceedings of the IEEE International Conference on Communications, 2014

2013

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

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

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

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Products of stochastic matrices: Large deviation rate for Markov chain temporal dependencies.

Dragana Bajovic, João Manuel Freitas Xavier, Bruno Sinopoli

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

Sensor Selection for Event Detection in Wireless Sensor Networks.

Dragana Bajovic, Bruno Sinopoli, João Manuel Freitas Xavier

IEEE Trans. Signal Process., 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

Asymptotic performance of distributed detection over random networks.

Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura

Proceedings of the IEEE International Conference on Acoustics, 2011

Large deviations analysis of consensus+innovations detection in random networks.

Dragana Bajovic, Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier, Bruno Sinopoli

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

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

Distributed detection over time varying networks: Large deviations analysis.

Dragana Bajovic, Dusan Jakovetic, João Xavier, Bruno Sinopoli, José M. F. Moura

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

Sensor selection for hypothesis testing in wireless sensor networks: a Kullback-Leibler based approach.

Dragana Bajovic, Bruno Sinopoli, João Manuel Freitas Xavier

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Robust linear dimensionality reduction for hypothesis testing with application to sensor selection.

Dragana Bajovic, Bruno Sinopoli, João Xavier

Proceedings of the 47th Annual Allerton Conference on Communication, 2009