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

Consensus in correlated random topologies: Weights for finite time horizon. - Dusan Jakovetic; João Manuel Freitas Xavier; José M. F. Moura (ICASSP, 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)

Weight optimization for consensus algorithms with correlated switching topology. - Dusan Jakovetic; João Manuel Freitas Xavier; José M. F. Moura (IEEE Trans. Signal Process., 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)

Cooperative Convex Optimization in Networked Systems: Augmented Lagrangian Algorithms With Directed Gossip Communication. - Dusan Jakovetic; João Manuel Freitas Xavier; José M. F. Moura (IEEE Trans. Signal Process., 2011)

Fast cooperative distributed learning. - Dusan Jakovetic; José M. F. Moura; João Manuel Freitas Xavier (ACSCC, 2012)

Consensus+innovations detection: Phase transition under communication noise. - Dusan Jakovetic; José M. F. Moura; João Manuel Freitas Xavier (Allerton Conference, 2012)

Distributed Nesterov-like gradient algorithms. - Dusan Jakovetic; José M. F. Moura; João Manuel Freitas Xavier (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)

Distributed Detection Over Noisy Networks: Large Deviations Analysis. - Dusan Jakovetic; José M. F. Moura; João Manuel Freitas Xavier (IEEE Trans. Signal Process., 2012)

Distributed augmented Lagrangian algorithms: Convergence rate. - Dusan Jakovetic; José M. F. Moura; João M. F. Xavier (GlobalSIP, 2013)

Distributed Nesterov gradient methods for random networks: Convergence in probability and convergence rates. - Dusan Jakovetic; João Xavier 001; José M. F. Moura (ICASSP, 2014)

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)

Fast Distributed Gradient Methods. - Dusan Jakovetic; João Manuel Freitas Xavier; José M. F. Moura (IEEE Trans. Autom. Control., 2014)

Convergence Rates of Distributed Nesterov-Like Gradient Methods on Random Networks. - Dusan Jakovetic; João Manuel Freitas Xavier; José M. F. Moura (IEEE Trans. Signal Process., 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)

Linear Convergence Rate of a Class of Distributed Augmented Lagrangian Algorithms. - Dusan Jakovetic; José M. F. Moura; João Xavier 001 (IEEE Trans. Autom. Control., 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 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)

A Unification, Generalization, and Acceleration of Exact Distributed First Order Methods. - Dusan Jakovetic (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)

I-BiDaaS: Industrial-Driven Big Data as a Self-service Solution. - Giorgos Vasiliadis; Dusan Jakovetic; Ilias Spais; Sotiris Ioannidis (ESOCC Workshops, 2018)

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

CREDO: A Communication-Efficient Distributed Estimation Algorithm. - Anit Kumar Sahu; Dusan Jakovetic; 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)

CIRFE: A Distributed Random Fields Estimator. - Anit Kumar Sahu; Dusan Jakovetic; Soummya Kar (IEEE Trans. Signal Process., 2018)

Distributed Trust-Region Method With First Order Models. - Aleksandar Armacki; Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (EUROCON, 2019)

Spectral-like gradient method for distributed optimization. - Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (EUROCON, 2019)

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

Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications. - Ioannis Arapakis; Yolanda Becerra 001; Omer Boehm; George Bravos; Vasilis Chatzigiannakis; Cesare Cugnasco; Giorgos Demetriou; Iliada Eleftheriou; Julien-Etienne Mascolo; Lidija Fodor; Sotiris Ioannidis; Dusan Jakovetic; et al. (SERVICES, 2019)

Exact spectral-like gradient method for distributed optimization. - Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (Comput. Optim. Appl., 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)

Distributed Nesterov Gradient Methods Over Arbitrary Graphs. - Ran Xin; Dusan Jakovetic; Usman A. Khan (IEEE Signal Process. Lett., 2019)

A Generic Optimisation-Based Approach for Improving Non-Intrusive Load Monitoring. - Kanghang He; Dusan Jakovetic; Bochao Zhao; Vladimir Stankovic 001; Lina Stankovic; Samuel Cheng 001 (IEEE Trans. Smart Grid, 2019)

A Unification and Generalization of Exact Distributed First-Order Methods. - Dusan Jakovetic (IEEE Trans. Signal Inf. Process. over Networks, 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)

MRI Reconstruction Using Markov Random Field and Total Variation as Composite Prior. - Marko Panic; Dusan Jakovetic; Dejan Vukobratovic; Vladimir S. Crnojevic; Aleksandra Pizurica (Sensors, 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)

Clustering of the Blendshape Facial Model. - Stevo Rackovic; Cláudia Soares; Dusan Jakovetic; Zoranka Desnica; Relja Ljubobratovic (EUSIPCO, 2021)

Analysis of Machine Learning Models Predicting Quality of Life for Cancer Patients. - Milos Savic 001; Vladimir Kurbalija; Mihailo Ilic; Mirjana Ivanovic; Dusan Jakovetic; Antonios Valachis; Serge Autexier; Johannes Rust; Thanos Kosmidis (MEDES, 2021)

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)

Distributed fixed point method for solving systems of linear algebraic equations. - Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic; Greta Malaspina; Alessandra Micheletti (Autom., 2021)

Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach. - Stevo Rackovic; Cláudia Soares; Dusan Jakovetic; Zoranka Desnica (CoRR, 2021)

Performance evaluation and analysis of distributed multi-agent optimization algorithms with sparsified directed communication. - Lidija Fodor; Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic; Srdan Skrbic (EURASIP J. Adv. Signal Process., 2021)

Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case. - Andreas Alexopoulos; Yolanda Becerra 001; Omer Boehm; George Bravos; Vasilis Chatzigiannakis; Cesare Cugnasco; Giorgos Demetriou; Iliada Eleftheriou; Lidija Fodor; Spiros Fotis; Sotiris Ioannidis; Dusan Jakovetic; et al. (Technologies and Applications for Big Data Value, 2022)

Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case. - Andreas Alexopoulos; Yolanda Becerra 001; Omer Boehm; George Bravos; Vasilis Chatzigiannakis; Cesare Cugnasco; Giorgos Demetriou; Iliada Eleftheriou; Spiros Fotis; Gianmarco Genchi; Sotiris Ioannidis; Dusan Jakovetic; et al. (Technologies and Applications for Big Data Value, 2022)

BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems. - Nemanja Milosevic; Dusan Jakovetic; Srdjan Skrbic; Milos Savic 001; Dusan Stamenkovic; Julien-Etienne Mascolo; Davide Masera (EUSIPCO, 2022)

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)

Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned. - George Bravos; Antonio J. Cabrera; Camilo Correa; Dragan Danilovic; Nikolaos Evangeliou; Gilad Ezov; Zoran Gajica; Dusan Jakovetic; Leonidas Kallipolitis; Milan Lukic; Julien-Etienne Mascolo; Davide Masera; et al. (IEEE Access, 2022)

One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments. - Aleksandar Armacki; Dragana Bajovic; Dusan Jakovetic; Soummya Kar (CoRR, 2022)

A parallel ADMM-based convex clustering method. - Lidija Fodor; Dusan Jakovetic; Danijela Boberic Krsticev; Srdan Skrbic (EURASIP J. Adv. Signal Process., 2022)

Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method. - Milos Savic 001; Jasna Atanasijevic; Dusan Jakovetic; Natasa Krejic (Expert Syst. Appl., 2022)

A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization. - Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (IEEE Trans. Signal Inf. Process. over Networks, 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)

Distributed Solution of the Blendshape Rig Inversion Problem. - Stevo Rackovic; Cláudia Soares; Dusan Jakovetic (SIGGRAPH Asia Technical Communications, 2023)

The application of machine learning techniques in prediction of quality of life features for cancer patients. - Milos Savic 001; Vladimir Kurbalija; Mihailo Ilic; Mirjana Ivanovic; Dusan Jakovetic; Antonios Valachis; Serge Autexier; Johannes Rust; Thanos Kosmidis (Comput. Sci. Inf. Syst., 2023)

High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model. - Stevo Rackovic; Cláudia Soares; Dusan Jakovetic; Zoranka Desnica (CoRR, 2023)

Accurate and Interpretable Solution of the Inverse Rig for Realistic Blendshape Models with Quadratic Corrective Terms. - Stevo Rackovic; Cláudia Soares; Dusan Jakovetic; Zoranka Desnica (CoRR, 2023)

Distributed Solution of the Inverse Rig Problem in Blendshape Facial Animation. - Stevo Rackovic; Cláudia Soares; Dusan Jakovetic (CoRR, 2023)

Smoothed Gradient Clipping and Error Feedback for Distributed Optimization under Heavy-Tailed Noise. - Shuhua Yu; Dusan Jakovetic; Soummya Kar (CoRR, 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)

EFIX: Exact fixed point methods for distributed optimization. - Dusan Jakovetic; Natasa Krejic; Natasa Krklec Jerinkic (J. Glob. Optim., 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)

Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation. - Stevo Rackovic; Dusan Jakovetic; Cláudia Soares (SIGGRAPH Asia, 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)

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)

A majorization-minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation. - Stevo Rackovic; Cláudia Soares; Dusan Jakovetic; Zoranka Desnica (Optim. Lett., 2024)

Linear convergence rate analysis of a class of exact first-order distributed methods for weight-balanced time-varying networks and uncoordinated step sizes. - Greta Malaspina; Dusan Jakovetic; Natasa Krejic (Optim. Lett., 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)

Decentralized Nonconvex Optimization under Heavy-Tailed Noise: Normalization and Optimal Convergence. - Shuhua Yu; Dusan Jakovetic; Soummya Kar (CoRR, 2025)

Modular Federated Learning: A Meta-Framework Perspective. - Frederico Vicente; Cláudia Soares; Dusan Jakovetic (CoRR, 2025)

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

Distributed inexact Newton method with adaptive step sizes. - Dusan Jakovetic; Natasa Krejic; Greta Malaspina (Comput. Optim. Appl., 2025)

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

Parallel inexact Levenberg-Marquardt method for nearly-separable nonlinear least squares. - Lidija Fodor; Dusan Jakovetic; Natasa Krejic; Greta Malaspina (J. Glob. Optim., 2025)

Robust Federated Learning under Adversarial Attacks via Loss-Based Client Clustering. - Emmanouil Kritharakis; Dusan Jakovetic; Antonios Makris; Konstantinos Tserpes (CoRR, 2025)