Dusan Jakovetic

136 papers A* 2A 2B 5C 1Misc 3Journal 94Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributed Gradient Clustering: Convergence and the Effect of Initialization. CoRR Aleksandar Armacki, Himkant Sharma, Dragana Bajovic, Dusan Jakovetic, Mrityunjoy Chakraborty, Soummya Kar
2026	J	`jnl`	Large Deviation Upper Bounds and Improved MSE Rates of Nonlinear SGD: Heavy-Tailed Noise and Power of Symmetry. SIAM J. Optim. Aleksandar Armacki, Shuhua Yu, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2026	J	`jnl`	Tackling heavy-tailed noise in distributed estimation: Asymptotic performance and tradeoffs. CoRR Dragana Bajovic, Dusan Jakovetic, Soummya Kar, Manojlo Vukovic
2026	J	`jnl`	Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization. CoRR Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar, Ali H. Sayed
2025	J	`jnl`	Decentralized Nonconvex Optimization under Heavy-Tailed Noise: Normalization and Optimal Convergence. CoRR Shuhua Yu, Dusan Jakovetic, Soummya Kar
2025	J	`jnl`	Distributed Center-Based Clustering: A Unified Framework. IEEE Trans. Signal Process. Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2025	J	`jnl`	Distributed gradient methods under heavy-tailed communication noise. CoRR Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2025	J	`jnl`	Distributed inexact Newton method with adaptive step sizes. Comput. Optim. Appl. Dusan Jakovetic, Natasa Krejic, Greta Malaspina
2025	J	`jnl`	FedGreed: A Byzantine-Robust Loss-Based Aggregation Method for Federated Learning. CoRR Emmanouil Kritharakis, Antonios Makris, Dusan Jakovetic, Konstantinos Tserpes
2025	A	`conf`	High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise. AISTATS Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2025	J	`jnl`	Modular Federated Learning: A Meta-Framework Perspective. CoRR Frederico Vicente, Cláudia Soares, Dusan Jakovetic
2025	J	`jnl`	Optimal High-probability Convergence of Nonlinear SGD under Heavy-tailed Noise via Symmetrization. CoRR Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2025	J	`jnl`	Parallel inexact Levenberg-Marquardt method for nearly-separable nonlinear least squares. J. Glob. Optim. Lidija Fodor, Dusan Jakovetic, Natasa Krejic, Greta Malaspina
2025	J	`jnl`	Robust Federated Learning under Adversarial Attacks via Loss-Based Client Clustering. CoRR Emmanouil Kritharakis, Dusan Jakovetic, Antonios Makris, Konstantinos Tserpes
2025	—	`conf`	Unlocking AIoT Efficiency in the Computing Continuum - the PANDORA framework. IOT Georgios Bouloukakis, Ajay Kattepur, Dusan Jakovetic, Alexandros Iosifidis, Konstantinos Tserpes, Maria Pateraki
2024	J	`jnl`	A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments. IEEE Trans. Signal Process. Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2024	J	`jnl`	A Unified Framework for Gradient-based Clustering of Distributed Data. CoRR Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2024	J	`jnl`	A majorization-minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation. Optim. Lett. Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
2024	—	`conf`	Distributed Gradient Clustering: Convergence and the Effect of Initialization. IEEECONF Aleksandar Armacki, Himkant Sharma, Dragana Bajovic, Dusan Jakovetic, Mrityunjoy Chakraborty, Soummya Kar
2024	J	`jnl`	Large Deviations and Improved Mean-squared Error Rates of Nonlinear SGD: Heavy-tailed Noise and Power of Symmetry. CoRR Aleksandar Armacki, Shuhua Yu, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2024	J	`jnl`	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. Greta Malaspina, Dusan Jakovetic, Natasa Krejic
2024	J	`jnl`	Nonlinear Consensus+Innovations under Correlated Heavy-Tailed Noises: Mean Square Convergence Rate and Asymptotics. SIAM J. Control. Optim. Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2024	J	`jnl`	Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees. CoRR Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2024	A*	`conf`	Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation. SIGGRAPH Asia Stevo Rackovic, Dusan Jakovetic, Cláudia Soares
2024	J	`jnl`	Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation. CoRR Stevo Rackovic, Cláudia Soares, Dusan Jakovetic
2023	J	`jnl`	Accurate and Interpretable Solution of the Inverse Rig for Realistic Blendshape Models with Quadratic Corrective Terms. CoRR Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
2023	—	`conf`	Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. EUSIPCO Aleksandar Armacki, Nemanja Milosevic, Dragana Bajovic, Soummya Kar, Dusan Jakovetic, Arian Bakhtiarnia, Lukas Esterle, Adrian Muscat, Thomas Festi
2023	J	`jnl`	Distributed Recursive Estimation under Heavy-Tail Communication Noise. SIAM J. Control. Optim. Dusan Jakovetic, Manojlo Vukovic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar
2023	—	`conf`	Distributed Solution of the Blendshape Rig Inversion Problem. SIGGRAPH Asia Technical Communications Stevo Rackovic, Cláudia Soares, Dusan Jakovetic
2023	J	`jnl`	Distributed Solution of the Inverse Rig Problem in Blendshape Facial Animation. CoRR Stevo Rackovic, Cláudia Soares, Dusan Jakovetic
2023	J	`jnl`	EFIX: Exact fixed point methods for distributed optimization. J. Glob. Optim. Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2023	J	`jnl`	High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model. CoRR Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
2023	J	`jnl`	High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise. CoRR Aleksandar Armacki, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2023	J	`jnl`	Large Deviations for Products of Non-Identically Distributed Network Matrices With Applications to Communication-Efficient Distributed Learning and Inference. IEEE Trans. Signal Process. Nemanja Petrovic, Dragana Bajovic, Soummya Kar, Dusan Jakovetic, Anit Kumar Sahu
2023	A	`conf`	Large deviations rates for stochastic gradient descent with strongly convex functions. AISTATS Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2023	J	`jnl`	Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise. SIAM J. Optim. Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic
2023	J	`jnl`	Smoothed Gradient Clipping and Error Feedback for Distributed Optimization under Heavy-Tailed Noise. CoRR Shuhua Yu, Dusan Jakovetic, Soummya Kar
2023	J	`jnl`	The application of machine learning techniques in prediction of quality of life features for cancer patients. Comput. Sci. Inf. Syst. Milos Savic, Vladimir Kurbalija, Mihailo Ilic, Mirjana Ivanovic, Dusan Jakovetic, Antonios Valachis, Serge Autexier, Johannes Rust, Thanos Kosmidis
2022	J	`jnl`	A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2022	J	`jnl`	A Hessian inversion-free exact second order method for distributed consensus optimization. CoRR Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2022	J	`jnl`	A parallel ADMM-based convex clustering method. EURASIP J. Adv. Signal Process. Lidija Fodor, Dusan Jakovetic, Danijela Boberic Krsticev, Srdan Skrbic
2022	—	`conf`	BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems. EUSIPCO Nemanja Milosevic, Dusan Jakovetic, Srdjan Skrbic, Milos Savic, Dusan Stamenkovic, Julien-Etienne Mascolo, Davide Masera
2022	—	`ch.`	Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case. Technologies and Applications for Big Data Value Andreas Alexopoulos, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Lidija Fodor, Spiros Fotis, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Vlatka Katusic, Evangelia Kavakli, Despina Kopanaki, Christoforos Leventis, Mario Maawad Marcos, Ramon Martín de Pozuelo, Miquel Martínez, Nemanja Milosevic, Enric Pages i Montanera, Gerald H. Ristow, Hernan Ruiz-Ocampo, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Ilias Spais, Giorgos Vasiliadis, Michael Vinov
2022	—	`ch.`	Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case. Technologies and Applications for Big Data Value Andreas Alexopoulos, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Spiros Fotis, Gianmarco Genchi, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Vlatka Katusic, Evangelia Kavakli, Despina Kopanaki, Christoforos Leventis, Miquel Martínez, Julien-Etienne Mascolo, Nemanja Milosevic, Enric Pages i Montanera, Gerald H. Ristow, Hernan Ruiz-Ocampo, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Ilias Spais, Giuseppe Danilo Spennacchio, Dusan Stamenkovic, Giorgos Vasiliadis, Michael Vinov
2022	J	`jnl`	Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned. IEEE Access 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
2022	—	`conf`	Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration. EUSIPCO Dejan Vukobratovic, Milan Lukic, Ivan Mezei, Dragana Bajovic, Dragan Danilovic, Milos Savic, Zarko Bodroski, Srdjan Skrbic, Dusan Jakovetic
2022	A*	`conf`	Gradient Based Clustering. ICML Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2022	J	`jnl`	Gradient Based Clustering. CoRR Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2022	J	`jnl`	Large deviations rates for stochastic gradient descent with strongly convex functions. CoRR Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2022	J	`jnl`	Nonlinear consensus+innovations under correlated heavy-tailed noises: Mean square convergence rate and asymptotics. CoRR Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2022	J	`jnl`	Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise. CoRR Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic
2022	J	`jnl`	One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments. CoRR Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2022	—	`conf`	Personalized Federated Learning via Convex Clustering. ISC2 Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2022	J	`jnl`	Personalized Federated Learning via Convex Clustering. CoRR Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar
2022	J	`jnl`	Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method. Expert Syst. Appl. Milos Savic, Jasna Atanasijevic, Dusan Jakovetic, Natasa Krejic
2021	J	`jnl`	Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach. CoRR Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
2021	C	`conf`	Analysis of Machine Learning Models Predicting Quality of Life for Cancer Patients. MEDES Milos Savic, Vladimir Kurbalija, Mihailo Ilic, Mirjana Ivanovic, Dusan Jakovetic, Antonios Valachis, Serge Autexier, Johannes Rust, Thanos Kosmidis
2021	—	`conf`	Clustering of the Blendshape Facial Model. EUSIPCO Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic
2021	J	`jnl`	Clustering of the Blendshape Facial Model. CoRR Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic
2021	J	`jnl`	Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics. IEEE Access Milos Savic, Milan Lukic, Dragan Danilovic, Zarko Bodroski, Dragana Bajovic, Ivan Mezei, Dejan Vukobratovic, Srdjan Skrbic, Dusan Jakovetic
2021	J	`jnl`	Deep Learning Anomaly Detection for Cellular IoT with Applications in Smart Logistics. CoRR Milos Savic, Milan Lukic, Dragan Danilovic, Zarko Bodroski, Dragana Bajovic, Ivan Mezei, Dejan Vukobratovic, Srdjan Skrbic, Dusan Jakovetic
2021	J	`jnl`	Distributed fixed point method for solving systems of linear algebraic equations. Autom. Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti
2021	J	`jnl`	Performance evaluation and analysis of distributed multi-agent optimization algorithms with sparsified directed communication. EURASIP J. Adv. Signal Process. Lidija Fodor, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Srdan Skrbic
2021	J	`jnl`	Tax Evasion Risk Management Using a Hybrid Unsupervised Outlier Detection Method. CoRR Milos Savic, Jasna Atanasijevic, Dusan Jakovetic, Natasa Krejic
2020	J	`jnl`	Distributed Fixed Point Method for Solving Systems of Linear Algebraic Equations. CoRR Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti
2020	J	`jnl`	Distributed Second-Order Methods With Increasing Number of Working Nodes. IEEE Trans. Autom. Control. Natasa Krklec Jerinkic, Dusan Jakovetic, Natasa Krejic, Dragana Bajovic
2020	J	`jnl`	MRI Reconstruction Using Markov Random Field and Total Variation as Composite Prior. Sensors Marko Panic, Dusan Jakovetic, Dejan Vukobratovic, Vladimir S. Crnojevic, Aleksandra Pizurica
2020	J	`jnl`	Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics. Proc. IEEE Dusan Jakovetic, Dragana Bajovic, João Xavier, José M. F. Moura
2019	J	`jnl`	A Generic Optimisation-Based Approach for Improving Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid Kanghang He, Dusan Jakovetic, Bochao Zhao, Vladimir Stankovic, Lina Stankovic, Samuel Cheng
2019	J	`jnl`	A Unification and Generalization of Exact Distributed First-Order Methods. IEEE Trans. Signal Inf. Process. over Networks Dusan Jakovetic
2019	—	`conf`	Communication Efficient Distributed Estimation Over Directed Random Graphs. EUROCON Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2019	J	`jnl`	Distributed Nesterov Gradient Methods Over Arbitrary Graphs. IEEE Signal Process. Lett. Ran Xin, Dusan Jakovetic, Usman A. Khan
2019	J	`jnl`	Distributed Nesterov gradient methods over arbitrary graphs. CoRR Ran Xin, Dusan Jakovetic, Usman A. Khan
2019	—	`conf`	Distributed Trust-Region Method With First Order Models. EUROCON Aleksandar Armacki, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2019	J	`jnl`	Exact spectral-like gradient method for distributed optimization. Comput. Optim. Appl. Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2019	J	`jnl`	Primal-dual optimization methods for large-scale and distributed data analytics. CoRR Dusan Jakovetic, Dragana Bajovic, João Xavier, José M. F. Moura
2019	—	`conf`	Spectral-like gradient method for distributed optimization. EUROCON Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2019	B	`conf`	Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications. SERVICES 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
2018	J	`jnl`	CIRFE: A Distributed Random Fields Estimator. CoRR Anit Kumar Sahu, Dusan Jakovetic, Soummya Kar
2018	J	`jnl`	CIRFE: A Distributed Random Fields Estimator. IEEE Trans. Signal Process. Anit Kumar Sahu, Dusan Jakovetic, Soummya Kar
2018	B	`conf`	CREDO: A Communication-Efficient Distributed Estimation Algorithm. ISIT Anit Kumar Sahu, Dusan Jakovetic, Soummya Kar
2018	J	`jnl`	Communication efficient distributed weighted non-linear least squares estimation. EURASIP J. Adv. Signal Process. Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2018	—	`conf`	Convergence Rates for Distributed Stochastic Optimization Over Random Networks. CDC Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar
2018	—	`conf`	Distributed Energy Trading with Communication Constraints. ISGT Europe Kelvin O. O. Anoh, Dragana Bajovic, Dejan Vukobratovic, Bamidele Adebisi, Dusan Jakovetic, Mirsad Cosovic
2018	—	`conf`	Distributed Zeroth Order Optimization Over Random Networks: A Kiefer-Wolfowitz Stochastic Approximation Approach. CDC Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2018	—	`conf`	I-BiDaaS: Industrial-Driven Big Data as a Self-service Solution. ESOCC Workshops Giorgos Vasiliadis, Dusan Jakovetic, Ilias Spais, Sotiris Ioannidis
2018	B	`conf`	Large Deviations for Products of Non-I.i.d. Stochastic Matrices with Application to Distributed Detection. ISIT Dragana Bajovic, Dusan Jakovetic, Anit Kumar Sahu, Soummya Kar
2018	—	`conf`	Non-Asymptotic Rates for Communication Efficient Distributed Zeroth Order Strongly Convex Optimization. GlobalSIP Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
2017	J	`jnl`	A Unification, Generalization, and Acceleration of Exact Distributed First Order Methods. CoRR Dusan Jakovetic
2017	J	`jnl`	Cooperative Slotted ALOHA for Massive M2M Random Access Using Directional Antennas. CoRR Aleksandar Mastilovic, Dejan Vukobratovic, Dusan Jakovetic, Dragana Bajovic
2017	—	`conf`	Cooperative Slotted ALOHA for massive M2M random access using directional antennas. ICC Workshops Aleksandar Mastilovic, Dejan Vukobratovic, Dusan Jakovetic, Dragana Bajovic
2017	J	`jnl`	Distributed second order methods with variable number of working nodes. CoRR Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2017	J	`jnl`	Newton-like Method with Diagonal Correction for Distributed Optimization. SIAM J. Optim. Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2016	J	`jnl`	CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT. IEEE Access Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic, Günes Karabulut-Kurt, Camilla Hollanti, Ingo Fischer
2016	J	`jnl`	CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT. CoRR Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic, Gunes Karabulut-Kurt, Camilla Hollanti, Ingo Fischer
2016	J	`jnl`	Distributed Gradient Methods with Variable Number of Working Nodes. IEEE Trans. Signal Process. Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic
2016	—	`conf`	Distributed first and second order methods with increasing number of working nodes. GlobalSIP Dusan Jakovetic, Natasa Krklec Jerinkic, Natasa Krejic, Dragana Bajovic
2016	—	`conf`	Network function computation as a service in future 5G machine type communications. ISTC Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic
2015	J	`jnl`	Cooperative Slotted Aloha for Multi-Base Station Systems. IEEE Trans. Commun. Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
2015	J	`jnl`	Distributed Gradient Methods with Variable Number of Working Nodes. CoRR Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic
2015	—	`conf`	Distributed estimation of sparse user activity for multi-base station on-off random access. ICC Workshops Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic
2015	B	`conf`	Distributed storage allocations for neighborhood-based data access. ITW Dusan Jakovetic, Aleksandar Minja, Dragana Bajovic, Dejan Vukobratovic
2015	J	`jnl`	Linear Convergence Rate of a Class of Distributed Augmented Lagrangian Algorithms. IEEE Trans. Autom. Control. Dusan Jakovetic, José M. F. Moura, João Xavier
2015	J	`jnl`	Newton-like method with diagonal correction for distributed optimization. CoRR Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
2014	J	`jnl`	Convergence Rates of Distributed Nesterov-Like Gradient Methods on Random Networks. IEEE Trans. Signal Process. Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura
2014	J	`jnl`	Cooperative Slotted Aloha for Multi-Base Station Systems. CoRR Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
2014	Misc	`conf`	Distributed Nesterov gradient methods for random networks: Convergence in probability and convergence rates. ICASSP Dusan Jakovetic, João Xavier, José M. F. Moura
2014	J	`jnl`	Distributed Storage Allocations for Neighborhood-based Data Access. CoRR Dusan Jakovetic, Aleksandar Minja, Dragana Bajovic, Dejan Vukobratovic
2014	J	`jnl`	Fast Distributed Gradient Methods. IEEE Trans. Autom. Control. Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura
2014	J	`jnl`	Slotted Aloha for Networked Base Stations with Spatial and Temporal Diversity. CoRR Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
2014	J	`jnl`	Slotted Aloha for Networked Base Stations. CoRR Dragana Bajovic, Dusan Jakovetic, Dejan Vukobratovic, Vladimir S. Crnojevic
2014	B	`conf`	Slotted Aloha for networked base stations with spatial and temporal diversity. ISIT Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic
2014	—	`conf`	Slotted Aloha for networked base stations. ICC Workshops Dragana Bajovic, Dusan Jakovetic, Dejan Vukobratovic, Vladimir S. Crnojevic
2013	J	`jnl`	Convergence Rates of Distributed Nesterov-like Gradient Methods on Random Networks. CoRR Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura
2013	—	`conf`	Distributed augmented Lagrangian algorithms: Convergence rate. GlobalSIP Dusan Jakovetic, José M. F. Moura, João M. F. Xavier
2013	J	`jnl`	Linear Convergence Rate of a Class of Distributed Augmented Lagrangian Algorithms. CoRR Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier
2012	—	`conf`	Consensus+innovations detection: Phase transition under communication noise. Allerton Conference Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier
2012	J	`jnl`	Distributed Detection Over Noisy Networks: Large Deviations Analysis. IEEE Trans. Signal Process. Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier
2012	—	`conf`	Distributed Nesterov-like gradient algorithms. CDC Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier
2012	—	`conf`	Fast cooperative distributed learning. ACSCC Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier
2012	J	`jnl`	Large Deviations Performance of Consensus+Innovations Distributed Detection With Non-Gaussian Observations. IEEE Trans. Signal Process. Dragana Bajovic, Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier, Bruno Sinopoli
2011	Misc	`conf`	Asymptotic performance of distributed detection over random networks. ICASSP Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura
2011	J	`jnl`	Cooperative Convex Optimization in Networked Systems: Augmented Lagrangian Algorithms With Directed Gossip Communication. IEEE Trans. Signal Process. Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura
2011	J	`jnl`	Distributed Detection over Noisy Networks: Large Deviations Analysis CoRR Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier
2011	J	`jnl`	Distributed Detection via Gaussian Running Consensus: Large Deviations Asymptotic Analysis. IEEE Trans. Signal Process. Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura
2011	J	`jnl`	Fast Distributed Gradient Methods CoRR Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura
2011	J	`jnl`	Large Deviations Performance of Consensus+Innovations Distributed Detection with Non-Gaussian Observations CoRR Dragana Bajovic, Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier, Bruno Sinopoli
2011	—	`conf`	Large deviations analysis of consensus+innovations detection in random networks. Allerton Dragana Bajovic, Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier, Bruno Sinopoli
2010	Misc	`conf`	Consensus in correlated random topologies: Weights for finite time horizon. ICASSP Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura
2010	J	`jnl`	Cooperative Convex Optimization in Networked Systems: Augmented Lagrangian Algorithms with Directed Gossip Communication CoRR Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura
2010	J	`jnl`	Distributed Detection over Random Networks: Large Deviations Performance Analysis CoRR Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura
2010	J	`jnl`	Distributed Detection over Time Varying Networks: Large Deviations Analysis CoRR Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura
2010	—	`conf`	Distributed detection over time varying networks: Large deviations analysis. Allerton Dragana Bajovic, Dusan Jakovetic, João Xavier, Bruno Sinopoli, José M. F. Moura
2010	J	`jnl`	Weight optimization for consensus algorithms with correlated switching topology. IEEE Trans. Signal Process. Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura
2009	J	`jnl`	Consensus in Correlated Random Topologies: Weights for Finite Time Horizon CoRR Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura
2009	J	`jnl`	Weight Optimization for Consensus Algorithms with Correlated Switching Topology CoRR Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura