Dragana Bajovic

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 62

Top Topics

Stochastic Optimization

Large Deviations

Distributed Intelligent

Top Venues

IEEE Trans. Signal Process.

Publications

Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Nonlinear Consensus+Innovations under Correlated Heavy-Tailed Noises: Mean Square Convergence Rate and Asymptotics. SIAM J. Control. Optim. 62 (1) (2024)
Dragana Bajovic
Inaccuracy Rates for Distributed Inference Over Random Networks With Applications to Social Learning. IEEE Trans. Inf. Theory 70 (1) (2024)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments. IEEE Trans. Signal Process. 72 (2024)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
A Unified Framework for Gradient-based Clustering of Distributed Data. CoRR (2024)
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 (2023)
Aleksandar Armacki, Nemanja Milosevic, Dragana Bajovic, S. Kar, Dusan Jakovetic, Arian Bakhtiarnia, Lukas Esterle, Adrian Muscat, T. Festi
Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. EUSIPCO (2023)
Kelvin O. O. Anoh, Dejan Vukobratovic, Thomas Morstyn, Dragana Bajovic, Bamidele Adebisi
Maximising Power-Network Utility with Delivery Contracts in Energy Peer-to-Peer Trading. SmartGridComm (2023)
Dusan Jakovetic, Manojlo Vukovic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar
Distributed Recursive Estimation under Heavy-Tail Communication Noise. SIAM J. Control. Optim. 61 (3) (2023)
Nemanja Petrovic, Dragana Bajovic, Soummya Kar, Dusan Jakovetic, Anit Kumar Sahu
Large Deviations for Products of Non-Identically Distributed Network Matrices With Applications to Communication-Efficient Distributed Learning and Inference. IEEE Trans. Signal Process. 71 (2023)
Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis
Dynamic Split Computing for Efficient Deep EDGE Intelligence. ICASSP (2023)
Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic
Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise. SIAM J. Optim. 33 (2) (2023)
Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Large deviations rates for stochastic gradient descent with strongly convex functions. AISTATS (2023)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments. CoRR (2022)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Personalized Federated Learning via Convex Clustering. CoRR (2022)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Gradient Based Clustering. ICML (2022)
Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis
Dynamic Split Computing for Efficient Deep Edge Intelligence. CoRR (2022)
Dragana Bajovic
Inaccuracy rates for distributed inference over random networks with applications to social learning. CoRR (2022)
Dejan Vukobratovic, Milan Lukic, Ivan Mezei, Dragana Bajovic, Dragan Danilovic, Milos Savic, Zarko Bodroski, Srdjan Skrbic, Dusan Jakovetic
Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration. EUSIPCO (2022)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Personalized Federated Learning via Convex Clustering. ISC2 (2022)
Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise. CoRR (2022)
Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Large deviations rates for stochastic gradient descent with strongly convex functions. CoRR (2022)
Milica I. Petkovic, Dragana Bajovic, Dejan Vukobratovic, Juraj Machaj, Peter Brida, Graeme McCutcheon, Lina Stankovic, Vladimir Stankovic
Smart Dimmable LED Lighting Systems †. Sensors 22 (21) (2022)
Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Nonlinear consensus+innovations under correlated heavy-tailed noises: Mean square convergence rate and asymptotics. CoRR (2022)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Gradient Based Clustering. CoRR (2022)
Milos Savic, Milan Lukic, Dragan Danilovic, Zarko Bodroski, Dragana Bajovic, Ivan Mezei, Dejan Vukobratovic, Srdjan Skrbic, Dusan Jakovetic
Deep Learning Anomaly Detection for Cellular IoT with Applications in Smart Logistics. CoRR (2021)
Milos Savic, Milan Lukic, Dragan Danilovic, Zarko Bodroski, Dragana Bajovic, Ivan Mezei, Dejan Vukobratovic, Srdjan Skrbic, Dusan Jakovetic
Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics. IEEE Access 9 (2021)
Dusan Jakovetic, Dragana Bajovic, João M. F. Xavier, José M. F. Moura
Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics. Proc. IEEE 108 (11) (2020)
Natasa Krklec Jerinkic, Dusan Jakovetic, Natasa Krejic, Dragana Bajovic
Distributed Second-Order Methods With Increasing Number of Working Nodes. IEEE Trans. Autom. Control. 65 (2) (2020)
Dragana Bajovic, José M. F. Moura, Dejan Vukobratovic
Detecting Random Walks on Graphs With Heterogeneous Sensors. IEEE Trans. Inf. Theory 65 (8) (2019)
Tijana Devaja, Dragana Bajovic, Dejan Vukobratovic, Gordana Gardasevic
Scheduling in 6TiSCH Networks via Max-Product Message-Passing. EUROCON (2019)
Dejan Vukobratovic, Dragana Bajovic, Kelvin O. O. Anoh, Bamidele Adebisi
Distributed Energy Trading via Cellular Internet of Things and Mobile Edge Computing. ICC (2019)
Kelvin O. O. Anoh, Dragana Bajovic, Augustine Ikpehai, Bamidele Adebisi, Dejan Vukobratovic
Enabling Peer to Peer Energy Trading in Virtual Microgrids with LP-WAN. EUROCON (2019)
Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Communication Efficient Distributed Estimation Over Directed Random Graphs. EUROCON (2019)
Mirsad Cosovic, Tijana Devaja, Dragana Bajovic, J. Machaj, Graeme McCutcheon, Vladimir Stankovic, Lina Stankovic, Dejan Vukobratovic
Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models. CoRR (2019)
Dusan Jakovetic, Dragana Bajovic, João M. F. Xavier, José M. F. Moura
Primal-dual optimization methods for large-scale and distributed data analytics. CoRR (2019)
Milica I. Petkovic, Dragana Bajovic, Dejan Vukobratovic, Graeme McCutcheon, Lina Stankovic, Vladimir Stankovic
Effect of External Daylight in Smart Dimmable LED Lighting Systems. WOCC (2019)
Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Non-Asymptotic Rates for Communication Efficient Distributed Zeroth Order Strongly Convex Optimization. GlobalSIP (2018)
Dragana Bajovic, Kanghang He, Lina Stankovic, Dejan Vukobratovic, Vladimir Stankovic
Optimal Detection and Error Exponents for Hidden Semi-Markov Models. IEEE J. Sel. Top. Signal Process. 12 (5) (2018)
Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Communication efficient distributed weighted non-linear least squares estimation. EURASIP J. Adv. Signal Process. 2018 (2018)
Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar
Convergence Rates for Distributed Stochastic Optimization Over Random Networks. CDC (2018)
Kelvin O. O. Anoh, Dragana Bajovic, Dejan Vukobratovic, Bamidele Adebisi, Dusan Jakovetic, Mirsad Cosovic
Distributed Energy Trading with Communication Constraints. ISGT Europe (2018)
Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Distributed Zeroth Order Optimization Over Random Networks: A Kiefer-Wolfowitz Stochastic Approximation Approach. CDC (2018)
Kelvin O. O. Anoh, Augustine Ikpehai, Dragana Bajovic, Olamide Jogunola, Bamidele Adebisi, Dejan Vukobratovic, Mohammad Hammoudeh
Virtual microgrids: a management concept for peer-to-peer energy trading. ICFNDS (2018)
Dragana Bajovic, Dusan Jakovetic, Anit Kumar Sahu, Soummya Kar
Large Deviations for Products of Non-I.i.d. Stochastic Matrices with Application to Distributed Detection. ISIT (2018)
Aleksandar Mastilovic, Dejan Vukobratovic, Dusan Jakovetic, Dragana Bajovic
Cooperative Slotted ALOHA for Massive M2M Random Access Using Directional Antennas. CoRR (2017)
Dragana Bajovic, José M. F. Moura, Dejan Vukobratovic
Detecting random walks on graphs with heterogeneous sensors. CoRR (2017)
Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Distributed second order methods with variable number of working nodes. CoRR (2017)
Dragana Bajovic, Kanghang He, Lina Stankovic, Dejan Vukobratovic, Vladimir Stankovic
Optimal detection and error exponents for hidden multi-state processes via random duration model approach. CoRR (2017)
Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Newton-like Method with Diagonal Correction for Distributed Optimization. SIAM J. Optim. 27 (2) (2017)
Aleksandar Mastilovic, Dejan Vukobratovic, Dusan Jakovetic, Dragana Bajovic
Cooperative Slotted ALOHA for massive M2M random access using directional antennas. ICC Workshops (2017)
Dusan Jakovetic, Natasa Krklec Jerinkic, Natasa Krejic, Dragana Bajovic
Distributed first and second order methods with increasing number of working nodes. GlobalSIP (2016)
Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic, Gunes Karabulut Kurt, Camilla Hollanti, Ingo Fischer
CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT. CoRR (2016)
Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic, Günes Karabulut-Kurt, Camilla Hollanti, Ingo Fischer
CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT. IEEE Access 4 (2016)
Dragana Bajovic, José M. F. Moura, João M. F. Xavier, Bruno Sinopoli
Distributed Inference Over Directed Networks: Performance Limits and Optimal Design. IEEE Trans. Signal Process. 64 (13) (2016)
Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic
Network function computation as a service in future 5G machine type communications. ISTC (2016)
Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic
Distributed Gradient Methods with Variable Number of Working Nodes. IEEE Trans. Signal Process. 64 (15) (2016)
Dusan Jakovetic, Aleksandar Minja, Dragana Bajovic, Dejan Vukobratovic
Distributed storage allocations for neighborhood-based data access. ITW (2015)
Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic
Distributed Gradient Methods with Variable Number of Working Nodes. CoRR (2015)
Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
Cooperative Slotted Aloha for Multi-Base Station Systems. IEEE Trans. Commun. 63 (4) (2015)
Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic
Distributed estimation of sparse user activity for multi-base station on-off random access. ICC Workshops (2015)
Dragana Bajovic, José M. F. Moura, João M. F. Xavier, Bruno Sinopoli
Distributed inference over directed networks: Performance limits and optimal design. CoRR (2015)
Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Newton-like method with diagonal correction for distributed optimization. CoRR (2015)
Dragana Bajovic, Dusan Jakovetic, Dejan Vukobratovic, Vladimir S. Crnojevic
Slotted Aloha for networked base stations. ICC Workshops (2014)
Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
Slotted Aloha for Networked Base Stations with Spatial and Temporal Diversity. CoRR (2014)
Dusan Jakovetic, Aleksandar Minja, Dragana Bajovic, Dejan Vukobratovic
Distributed Storage Allocations for Neighborhood-based Data Access. CoRR (2014)
Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
Cooperative Slotted Aloha for Multi-Base Station Systems. CoRR (2014)
Dragana Bajovic, Dusan Jakovetic, Dejan Vukobratovic, Vladimir S. Crnojevic
Slotted Aloha for Networked Base Stations. CoRR (2014)
Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
Slotted Aloha for networked base stations with spatial and temporal diversity. ISIT (2014)
Dragana Bajovic, João Manuel Freitas Xavier, José M. F. Moura, Bruno Sinopoli
Consensus and Products of Random Stochastic Matrices: Exact Rate for Convergence in Probability. IEEE Trans. Signal Process. 61 (10) (2013)
Dragana Bajovic, João Manuel Freitas Xavier, Bruno Sinopoli
Products of stochastic matrices: Large deviation rate for Markov chain temporal dependencies. Allerton Conference (2012)
Dragana Bajovic, Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier, Bruno Sinopoli
Large Deviations Performance of Consensus+Innovations Distributed Detection With Non-Gaussian Observations. IEEE Trans. Signal Process. 60 (11) (2012)
Dragana Bajovic, João Manuel Freitas Xavier, José M. F. Moura, Bruno Sinopoli
Consensus and Products of Random Stochastic Matrices: Exact Rate for Convergence in Probability CoRR (2012)
Dragana Bajovic, João Manuel Freitas Xavier, José M. F. Moura, Bruno Sinopoli
Exact rate for convergence in probability of averaging processes via generalized min-cut. CDC (2012)
Dragana Bajovic, Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier, Bruno Sinopoli
Large deviations analysis of consensus+innovations detection in random networks. Allerton (2011)
Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura
Asymptotic performance of distributed detection over random networks. ICASSP (2011)
Dragana Bajovic, Bruno Sinopoli, João Manuel Freitas Xavier
Sensor Selection for Event Detection in Wireless Sensor Networks. IEEE Trans. Signal Process. 59 (10) (2011)
Dragana Bajovic, Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier, Bruno Sinopoli
Large Deviations Performance of Consensus+Innovations Distributed Detection with Non-Gaussian Observations CoRR (2011)
Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura
Distributed Detection via Gaussian Running Consensus: Large Deviations Asymptotic Analysis. IEEE Trans. Signal Process. 59 (9) (2011)
Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura
Distributed Detection over Time Varying Networks: Large Deviations Analysis CoRR (2010)
Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura
Distributed Detection over Random Networks: Large Deviations Performance Analysis CoRR (2010)
Dragana Bajovic, Dusan Jakovetic, João Xavier, Bruno Sinopoli, José M. F. Moura
Distributed detection over time varying networks: Large deviations analysis. Allerton (2010)
Dragana Bajovic, Bruno Sinopoli, João Manuel Freitas Xavier
Sensor Selection for Event Detection in Wireless Sensor Networks CoRR (2010)
Dragana Bajovic, Bruno Sinopoli, João Xavier
Robust linear dimensionality reduction for hypothesis testing with application to sensor selection. Allerton (2009)
Dragana Bajovic, Bruno Sinopoli, João Manuel Freitas Xavier
Sensor selection for hypothesis testing in wireless sensor networks: a Kullback-Leibler based approach. CDC (2009)