Dusan Jakovetic

Orcid: 0000-0003-3497-5589

According to our database1, Dusan Jakovetic authored at least 88 papers between 2010 and 2024.

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Bibliography

2024
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., April, 2024

A majorization-minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation.
Optim. Lett., March, 2024

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

Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation.
CoRR, 2024

2023
Distributed Recursive Estimation under Heavy-Tail Communication Noise.
SIAM J. Control. Optim., June, 2023

EFIX: Exact fixed point methods for distributed optimization.
J. Glob. Optim., March, 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

Smoothed Gradient Clipping and Error Feedback for Distributed Optimization under Heavy-Tailed Noise.
CoRR, 2023

Distributed Solution of the Inverse Rig Problem in Blendshape Facial Animation.
CoRR, 2023

Accurate and Interpretable Solution of the Inverse Rig for Realistic Blendshape Models with Quadratic Corrective Terms.
CoRR, 2023

High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model.
CoRR, 2023

The application of machine learning techniques in prediction of quality of life features for cancer patients.
Comput. Sci. Inf. Syst., 2023

Distributed Solution of the Blendshape Rig Inversion Problem.
Proceedings of the SIGGRAPH Asia 2023 Technical Communications, 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
A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method.
Expert Syst. Appl., 2022

A parallel ADMM-based convex clustering method.
EURASIP J. Adv. Signal Process., 2022

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

Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned.
IEEE Access, 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

BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems.
Proceedings of the 30th European Signal Processing Conference, 2022



2021
Performance evaluation and analysis of distributed multi-agent optimization algorithms with sparsified directed communication.
EURASIP J. Adv. Signal Process., 2021

Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach.
CoRR, 2021

Distributed fixed point method for solving systems of linear algebraic equations.
Autom., 2021

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

Analysis of Machine Learning Models Predicting Quality of Life for Cancer Patients.
Proceedings of the MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems, Virtual Event, Tunisia, November 1, 2021

Clustering of the Blendshape Facial Model.
Proceedings of the 29th European Signal Processing Conference, 2021

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

MRI Reconstruction Using Markov Random Field and Total Variation as Composite Prior.
Sensors, 2020

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

2019
A Unification and Generalization of Exact Distributed First-Order Methods.
IEEE Trans. Signal Inf. Process. over Networks, 2019

A Generic Optimisation-Based Approach for Improving Non-Intrusive Load Monitoring.
IEEE Trans. Smart Grid, 2019

Distributed Nesterov Gradient Methods Over Arbitrary Graphs.
IEEE Signal Process. Lett., 2019

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

Exact spectral-like gradient method for distributed optimization.
Comput. Optim. Appl., 2019


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

Spectral-like gradient method for distributed optimization.
Proceedings of the IEEE EUROCON 2019, 2019

Distributed Trust-Region Method With First Order Models.
Proceedings of the IEEE EUROCON 2019, 2019

2018
CIRFE: A Distributed Random Fields Estimator.
IEEE Trans. Signal Process., 2018

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

CREDO: A Communication-Efficient Distributed Estimation Algorithm.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 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

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

I-BiDaaS: Industrial-Driven Big Data as a Self-service Solution.
Proceedings of the Advances in Service-Oriented and Cloud Computing, 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

A Unification, Generalization, and Acceleration of Exact Distributed First Order Methods.
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

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

Linear Convergence Rate of a Class of Distributed Augmented Lagrangian Algorithms.
IEEE Trans. Autom. Control., 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
Convergence Rates of Distributed Nesterov-Like Gradient Methods on Random Networks.
IEEE Trans. Signal Process., 2014

Fast Distributed Gradient Methods.
IEEE Trans. Autom. Control., 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

Distributed Nesterov gradient methods for random networks: Convergence in probability and convergence rates.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Distributed augmented Lagrangian algorithms: Convergence rate.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Distributed Detection Over Noisy Networks: Large Deviations Analysis.
IEEE Trans. Signal Process., 2012

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

Distributed Nesterov-like gradient algorithms.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Consensus+innovations detection: Phase transition under communication noise.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Fast cooperative distributed learning.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Cooperative Convex Optimization in Networked Systems: Augmented Lagrangian Algorithms With Directed Gossip Communication.
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
Weight optimization for consensus algorithms with correlated switching topology.
IEEE Trans. Signal Process., 2010

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

Consensus in correlated random topologies: Weights for finite time horizon.
Proceedings of the IEEE International Conference on Acoustics, 2010

Distributed detection over time varying networks: Large deviations analysis.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010


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