Dusan Jakovetic

Optim. Lett., April, 2024

A majorization-minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation.

[BibT_eX]

[DOI]

Optim. Lett., March, 2024

Nonlinear Consensus+Innovations under Correlated Heavy-Tailed Noises: Mean Square Convergence Rate and Asymptotics.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., February, 2024

A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2024

Large Deviations and Improved Mean-squared Error Rates of Nonlinear SGD: Heavy-tailed Noise and Power of Symmetry.

[BibT_eX]

[DOI]

CoRR, 2024

Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Stevo Rackovic

Cláudia Soares

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

2023

Distributed Recursive Estimation under Heavy-Tail Communication Noise.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., June, 2023

EFIX: Exact fixed point methods for distributed optimization.

[BibT_eX]

[DOI]

J. Glob. Optim., March, 2023

Large Deviations for Products of Non-Identically Distributed Network Matrices With Applications to Communication-Efficient Distributed Learning and Inference.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise.

[BibT_eX]

[DOI]

SIAM J. Optim., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Shuhua Yu

CoRR, 2023

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

[BibT_eX]

[DOI]

Stevo Rackovic

Cláudia Soares

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

The application of machine learning techniques in prediction of quality of life features for cancer patients.

[BibT_eX]

[DOI]

Comput. Sci. Inf. Syst., 2023

Distributed Solution of the Blendshape Rig Inversion Problem.

[BibT_eX]

[DOI]

Stevo Rackovic

Cláudia Soares

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.

[BibT_eX]

[DOI]

Proceedings of the 31st European Signal Processing Conference, 2023

Large deviations rates for stochastic gradient descent with strongly convex functions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2022

Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

A parallel ADMM-based convex clustering method.

[BibT_eX]

[DOI]

Lidija Fodor

Danijela Boberic Krsticev

Srdan Skrbic

EURASIP J. Adv. Signal Process., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

IEEE Access, 2022

Personalized Federated Learning via Convex Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Smart Cities Conference, 2022

Gradient Based Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems.

[BibT_eX]

[DOI]

Julien-Etienne Mascolo

Davide Masera

Proceedings of the 30th European Signal Processing Conference, 2022

Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case.

[BibT_eX]

[DOI]

Proceedings of the Technologies and Applications for Big Data Value, 2022

Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case.

[BibT_eX]

[DOI]

Proceedings of the Technologies and Applications for Big Data Value, 2022

2021

Performance evaluation and analysis of distributed multi-agent optimization algorithms with sparsified directed communication.

[BibT_eX]

[DOI]

Lidija Fodor

Srdan Skrbic

EURASIP J. Adv. Signal Process., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Greta Malaspina

Alessandra Micheletti

Autom., 2021

Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics.

[BibT_eX]

[DOI]

IEEE Access, 2021

Analysis of Machine Learning Models Predicting Quality of Life for Cancer Patients.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Distributed Second-Order Methods With Increasing Number of Working Nodes.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

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

[BibT_eX]

[DOI]

Marko Panic

Aleksandra Pizurica

Sensors, 2020

Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics.

[BibT_eX]

[DOI]

Proc. IEEE, 2020

2019

A Unification and Generalization of Exact Distributed First-Order Methods.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2019

A Generic Optimisation-Based Approach for Improving Non-Intrusive Load Monitoring.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

Distributed Nesterov Gradient Methods Over Arbitrary Graphs.

[BibT_eX]

[DOI]

Ran Xin

Usman A. Khan

IEEE Signal Process. Lett., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Exact spectral-like gradient method for distributed optimization.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2019

Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE World Congress on Services, 2019

Communication Efficient Distributed Estimation Over Directed Random Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE EUROCON 2019, 2019

Spectral-like gradient method for distributed optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE EUROCON 2019, 2019

Distributed Trust-Region Method With First Order Models.

[BibT_eX]

[DOI]

Aleksandar Armacki

Proceedings of the IEEE EUROCON 2019, 2019

2018

CIRFE: A Distributed Random Fields Estimator.

[BibT_eX]

[DOI]

Anit Kumar Sahu

IEEE Trans. Signal Process., 2018

Communication efficient distributed weighted non-linear least squares estimation.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2018

CREDO: A Communication-Efficient Distributed Estimation Algorithm.

[BibT_eX]

[DOI]

Anit Kumar Sahu

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.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Distributed Energy Trading with Communication Constraints.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

I-BiDaaS: Industrial-Driven Big Data as a Self-service Solution.

[BibT_eX]

[DOI]

Proceedings of the Advances in Service-Oriented and Cloud Computing, 2018

Distributed Zeroth Order Optimization Over Random Networks: A Kiefer-Wolfowitz Stochastic Approximation Approach.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Convergence Rates for Distributed Stochastic Optimization Over Random Networks.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Newton-like Method with Diagonal Correction for Distributed Optimization.

[BibT_eX]

[DOI]

SIAM J. Optim., 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Distributed second order methods with variable number of working nodes.

[BibT_eX]

[DOI]

CoRR, 2017

Cooperative Slotted ALOHA for massive M2M random access using directional antennas.

[BibT_eX]

[DOI]

Aleksandar Mastilovic

Proceedings of the 2017 IEEE International Conference on Communications Workshops, 2017

2016

Distributed Gradient Methods with Variable Number of Working Nodes.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT.

[BibT_eX]

[DOI]

IEEE Access, 2016

Network function computation as a service in future 5G machine type communications.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Cooperative Slotted Aloha for Multi-Base Station Systems.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2015

Linear Convergence Rate of a Class of Distributed Augmented Lagrangian Algorithms.

[BibT_eX]

[DOI]

João Xavier

IEEE Trans. Autom. Control., 2015

Distributed storage allocations for neighborhood-based data access.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Distributed estimation of sparse user activity for multi-base station on-off random access.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communication, 2015

2014

Convergence Rates of Distributed Nesterov-Like Gradient Methods on Random Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Fast Distributed Gradient Methods.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2014

Slotted Aloha for networked base stations with spatial and temporal diversity.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Slotted Aloha for networked base stations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2014

Distributed Nesterov gradient methods for random networks: Convergence in probability and convergence rates.

[BibT_eX]

[DOI]

João Xavier

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Distributed augmented Lagrangian algorithms: Convergence rate.

[BibT_eX]

[DOI]

João M. F. Xavier

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Distributed Detection Over Noisy Networks: Large Deviations Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Large Deviations Performance of Consensus+Innovations Distributed Detection With Non-Gaussian Observations.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Distributed Nesterov-like gradient algorithms.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Consensus+innovations detection: Phase transition under communication noise.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Fast cooperative distributed learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

Distributed Detection via Gaussian Running Consensus: Large Deviations Asymptotic Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

Asymptotic performance of distributed detection over random networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Large deviations analysis of consensus+innovations detection in random networks.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

Weight optimization for consensus algorithms with correlated switching topology.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Distributed Detection over Random Networks: Large Deviations Performance Analysis

[BibT_eX]

[DOI]

CoRR, 2010

Consensus in correlated random topologies: Weights for finite time horizon.

[BibT_eX]

[DOI]