Dragana Bajovic

According to our database1, Dragana Bajovic authored at least 62 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Nonlinear Consensus+Innovations under Correlated Heavy-Tailed Noises: Mean Square Convergence Rate and Asymptotics.
SIAM J. Control. Optim., February, 2024

Inaccuracy Rates for Distributed Inference Over Random Networks With Applications to Social Learning.
IEEE Trans. Inf. Theory, January, 2024

A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments.
IEEE Trans. Signal Process., 2024

A Unified Framework for Gradient-based Clustering of Distributed Data.
CoRR, 2024

2023
Distributed Recursive Estimation under Heavy-Tail Communication Noise.
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.
IEEE Trans. Signal Process., 2023

Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise.
SIAM J. Optim., 2023

High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise.
CoRR, 2023

Maximising Power-Network Utility with Delivery Contracts in Energy Peer-to-Peer Trading.
Proceedings of the IEEE International Conference on Communications, 2023

Dynamic Split Computing for Efficient Deep EDGE Intelligence.
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.
Proceedings of the 31st European Signal Processing Conference, 2023

Large deviations rates for stochastic gradient descent with strongly convex functions.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Smart Dimmable LED Lighting Systems †.
Sensors, 2022

One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments.
CoRR, 2022

Personalized Federated Learning via Convex Clustering.
Proceedings of the IEEE International Smart Cities Conference, 2022

Gradient Based Clustering.
Proceedings of the International Conference on Machine Learning, 2022

Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics.
IEEE Access, 2021

2020
Distributed Second-Order Methods With Increasing Number of Working Nodes.
IEEE Trans. Autom. Control., 2020

Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics.
Proc. IEEE, 2020

2019
Detecting Random Walks on Graphs With Heterogeneous Sensors.
IEEE Trans. Inf. Theory, 2019

Primal-dual optimization methods for large-scale and distributed data analytics.
CoRR, 2019

Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models.
CoRR, 2019

Effect of External Daylight in Smart Dimmable LED Lighting Systems.
Proceedings of the 28th Wireless and Optical Communications Conference, 2019

Distributed Energy Trading via Cellular Internet of Things and Mobile Edge Computing.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Communication Efficient Distributed Estimation Over Directed Random Graphs.
Proceedings of the IEEE EUROCON 2019, 2019

Scheduling in 6TiSCH Networks via Max-Product Message-Passing.
Proceedings of the IEEE EUROCON 2019, 2019

Enabling Peer to Peer Energy Trading in Virtual Microgrids with LP-WAN.
Proceedings of the IEEE EUROCON 2019, 2019

2018
Optimal Detection and Error Exponents for Hidden Semi-Markov Models.
IEEE J. Sel. Top. Signal Process., 2018

Communication efficient distributed weighted non-linear least squares estimation.
EURASIP J. Adv. Signal Process., 2018

Large Deviations for Products of Non-I.i.d. Stochastic Matrices with Application to Distributed Detection.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Distributed Energy Trading with Communication Constraints.
Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018

Virtual microgrids: a management concept for peer-to-peer energy trading.
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.
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.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Convergence Rates for Distributed Stochastic Optimization Over Random Networks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Newton-like Method with Diagonal Correction for Distributed Optimization.
SIAM J. Optim., 2017

Optimal detection and error exponents for hidden multi-state processes via random duration model approach.
CoRR, 2017

Distributed second order methods with variable number of working nodes.
CoRR, 2017

Cooperative Slotted ALOHA for massive M2M random access using directional antennas.
Proceedings of the 2017 IEEE International Conference on Communications Workshops, 2017

2016
Distributed Gradient Methods with Variable Number of Working Nodes.
IEEE Trans. Signal Process., 2016

Distributed Inference Over Directed Networks: Performance Limits and Optimal Design.
IEEE Trans. Signal Process., 2016

CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT.
IEEE Access, 2016

Network function computation as a service in future 5G machine type communications.
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.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Cooperative Slotted Aloha for Multi-Base Station Systems.
IEEE Trans. Commun., 2015

Distributed storage allocations for neighborhood-based data access.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Distributed estimation of sparse user activity for multi-base station on-off random access.
Proceedings of the IEEE International Conference on Communication, 2015

2014
Slotted Aloha for networked base stations with spatial and temporal diversity.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Slotted Aloha for networked base stations.
Proceedings of the IEEE International Conference on Communications, 2014

2013
Consensus and Products of Random Stochastic Matrices: Exact Rate for Convergence in Probability.
IEEE Trans. Signal Process., 2013

2012
Large Deviations Performance of Consensus+Innovations Distributed Detection With Non-Gaussian Observations.
IEEE Trans. Signal Process., 2012

Exact rate for convergence in probability of averaging processes via generalized min-cut.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Products of stochastic matrices: Large deviation rate for Markov chain temporal dependencies.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Sensor Selection for Event Detection in Wireless Sensor Networks.
IEEE Trans. Signal Process., 2011

Distributed Detection via Gaussian Running Consensus: Large Deviations Asymptotic Analysis.
IEEE Trans. Signal Process., 2011

Asymptotic performance of distributed detection over random networks.
Proceedings of the IEEE International Conference on Acoustics, 2011

Large deviations analysis of consensus+innovations detection in random networks.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Distributed Detection over Random Networks: Large Deviations Performance Analysis
CoRR, 2010

Distributed detection over time varying networks: Large deviations analysis.
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.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Robust linear dimensionality reduction for hypothesis testing with application to sensor selection.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009


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