Dusan Jakovetic

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 77

Top Venues

CoRR

IEEE Trans. Signal Process.

EUSIPCO

ICC Workshops

Publications

Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
A majorization-minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation. Optim. Lett. 18 (2) (2024)
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)
Greta Malaspina, Dusan Jakovetic, Natasa Krejic
Linear convergence rate analysis of a class of exact first-order distributed methods for weight-balanced time-varying networks and uncoordinated step sizes. Optim. Lett. 18 (3) (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)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic
Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation. CoRR (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)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic
Distributed Solution of the Blendshape Rig Inversion Problem. SIGGRAPH Asia Technical Communications (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)
Shuhua Yu, Dusan Jakovetic, Soummya Kar
Smoothed Gradient Clipping and Error Feedback for Distributed Optimization under Heavy-Tailed Noise. CoRR (2023)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
Accurate and Interpretable Solution of the Inverse Rig for Realistic Blendshape Models with Quadratic Corrective Terms. CoRR (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)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic
Distributed Solution of the Inverse Rig Problem in Blendshape Facial Animation. CoRR (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)
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
EFIX: Exact fixed point methods for distributed optimization. J. Glob. Optim. 85 (3) (2023)
Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Large deviations rates for stochastic gradient descent with strongly convex functions. AISTATS (2023)
Milos Savic, Vladimir Kurbalija, Mihailo Ilic, Mirjana Ivanovic, Dusan Jakovetic, Antonios Valachis, Serge Autexier, Johannes Rust, Thanos Kosmidis
The application of machine learning techniques in prediction of quality of life features for cancer patients. Comput. Sci. Inf. Syst. 20 (1) (2023)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model. CoRR (2023)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments. CoRR (2022)
Lidija Fodor, Dusan Jakovetic, Danijela Boberic Krsticev, Srdan Skrbic
A parallel ADMM-based convex clustering method. EURASIP J. Adv. Signal Process. 2022 (1) (2022)
Nemanja Milosevic, Dusan Jakovetic, Srdjan Skrbic, Milos Savic, Dusan Stamenkovic, Julien-Etienne Mascolo, Davide Masera
BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems. EUSIPCO (2022)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Personalized Federated Learning via Convex Clustering. CoRR (2022)
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, Raúl Mazo, Ivan Mezei, Andreas I. Miaoudakis, Nemanja Milosevic, William Oliff, Jacques Robin, Michail Smyrlis, Georgia Sakellari, Giorgos Stamatis, Dusan Stamenkovic, Srdan Skrbic, Carine Souveyet, Spyridon Vantolas, Giorgos Vasiliadis, Dejan Vukobratovic
Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned. IEEE Access 10 (2022)
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Gradient Based Clustering. ICML (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, Natasa Krejic, Natasa Krklec Jerinkic
A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
A Hessian inversion-free exact second order method for distributed consensus optimization. CoRR (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)
Milos Savic, Jasna Atanasijevic, Dusan Jakovetic, Natasa Krejic
Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method. Expert Syst. Appl. 193 (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)
Lidija Fodor, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Srdan Skrbic
Performance evaluation and analysis of distributed multi-agent optimization algorithms with sparsified directed communication. EURASIP J. Adv. Signal Process. 2021 (1) (2021)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic
Clustering of the Blendshape Facial Model. CoRR (2021)
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti
Distributed fixed point method for solving systems of linear algebraic equations. Autom. 134 (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. CoRR (2021)
Milos Savic, Jasna Atanasijevic, Dusan Jakovetic, Natasa Krejic
Tax Evasion Risk Management Using a Hybrid Unsupervised Outlier Detection Method. CoRR (2021)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic
Clustering of the Blendshape Facial Model. EUSIPCO (2021)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach. 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)
Milos Savic, Vladimir Kurbalija, Mihailo Ilic, Mirjana Ivanovic, Dusan Jakovetic, Antonios Valachis, Serge Autexier, Johannes Rust, Thanos Kosmidis
Analysis of Machine Learning Models Predicting Quality of Life for Cancer Patients. MEDES (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)
Marko Panic, Dusan Jakovetic, Dejan Vukobratovic, Vladimir S. Crnojevic, Aleksandra Pizurica
MRI Reconstruction Using Markov Random Field and Total Variation as Composite Prior. Sensors 20 (11) (2020)
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti
Distributed Fixed Point Method for Solving Systems of Linear Algebraic Equations. CoRR (2020)
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Spectral-like gradient method for distributed optimization. EUROCON (2019)
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Exact spectral-like gradient method for distributed optimization. Comput. Optim. Appl. 74 (3) (2019)
Kanghang He, Dusan Jakovetic, Bochao Zhao, Vladimir Stankovic, Lina Stankovic, Samuel Cheng
A Generic Optimisation-Based Approach for Improving Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 10 (6) (2019)
Ran Xin, Dusan Jakovetic, Usman A. Khan
Distributed Nesterov Gradient Methods Over Arbitrary Graphs. IEEE Signal Process. Lett. 26 (8) (2019)
Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Communication Efficient Distributed Estimation Over Directed Random Graphs. EUROCON (2019)
Aleksandar Armacki, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Distributed Trust-Region Method With First Order Models. EUROCON (2019)
Ioannis Arapakis, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Julien-Etienne Mascolo, Lidija Fodor, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Evangelia Kavakli, Despina Kopanaki, Nicolas Kourtellis, Mario Maawad Marcos, Ramon Martín de Pozuelo, Nemanja Milosevic, Giuditta Morandi, Enric Pages i Montanera, Gerald H. Ristow, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Ilias Spais, Giorgos Vasiliadis, Michael Vinov
Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications. SERVICES (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)
Dusan Jakovetic
A Unification and Generalization of Exact Distributed First-Order Methods. IEEE Trans. Signal Inf. Process. over Networks 5 (1) (2019)
Ran Xin, Dusan Jakovetic, Usman A. Khan
Distributed Nesterov gradient methods over arbitrary graphs. CoRR (2019)
Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Non-Asymptotic Rates for Communication Efficient Distributed Zeroth Order Strongly Convex Optimization. GlobalSIP (2018)
Anit Kumar Sahu, Dusan Jakovetic, Soummya Kar
CIRFE: A Distributed Random Fields Estimator. CoRR (2018)
Anit Kumar Sahu, Dusan Jakovetic, Soummya Kar
CIRFE: A Distributed Random Fields Estimator. IEEE Trans. Signal Process. 66 (18) (2018)
Giorgos Vasiliadis, Dusan Jakovetic, Ilias Spais, Sotiris Ioannidis
I-BiDaaS: Industrial-Driven Big Data as a Self-service Solution. ESOCC Workshops (2018)
Anit Kumar Sahu, Dusan Jakovetic, Soummya Kar
CREDO: A Communication-Efficient Distributed Estimation Algorithm. ISIT (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)
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)
Dusan Jakovetic
A Unification, Generalization, and Acceleration of Exact Distributed First Order Methods. 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, 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)
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, José M. F. Moura, João M. F. Xavier
Linear Convergence Rate of a Class of Distributed Augmented Lagrangian Algorithms. IEEE Trans. Autom. Control. 60 (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, 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, João Manuel Freitas Xavier, José M. F. Moura
Fast Distributed Gradient Methods. IEEE Trans. Autom. Control. 59 (5) (2014)
Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
Cooperative Slotted Aloha for Multi-Base Station Systems. CoRR (2014)
Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura
Convergence Rates of Distributed Nesterov-Like Gradient Methods on Random Networks. IEEE Trans. Signal Process. 62 (4) (2014)
Dusan Jakovetic, João M. F. Xavier, José M. F. Moura
Distributed Nesterov gradient methods for random networks: Convergence in probability and convergence rates. ICASSP (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)
Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier
Linear Convergence Rate of a Class of Distributed Augmented Lagrangian Algorithms. CoRR (2013)
Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura
Convergence Rates of Distributed Nesterov-like Gradient Methods on Random Networks. CoRR (2013)
Dusan Jakovetic, José M. F. Moura, João M. F. Xavier
Distributed augmented Lagrangian algorithms: Convergence rate. GlobalSIP (2013)
Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier
Consensus+innovations detection: Phase transition under communication noise. 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)
Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier
Distributed Detection Over Noisy Networks: Large Deviations Analysis. IEEE Trans. Signal Process. 60 (8) (2012)
Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier
Distributed Nesterov-like gradient algorithms. CDC (2012)
Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier
Fast cooperative distributed learning. ACSCC (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dusan Jakovetic