Sindri Magnússon

According to our database, Sindri Magnússon authored at least 57 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge.

Ali Beikmohammadi, Sindri Magnússon

Inf. Sci., 2024

Average Consensus With Error Correction.

Diego R. Benalcázar, Sindri Magnússon, Chinwendu Enyioha

IEEE Control. Syst. Lett., 2024

On the Convergence of Federated Learning Algorithms without Data Similarity.

Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon

CoRR, 2024

Distributed Momentum Methods Under Biased Gradient Estimations.

Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon

CoRR, 2024

A Cost-Sensitive Transformer Model for Prognostics Under Highly Imbalanced Industrial Data.

Ali Beikmohammadi, Mohammad Hosein Hamian, Neda Khoeyniha, Tony Lindgren, Olof Steinert, Sindri Magnússon

CoRR, 2024

SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance.

Zahra Kharazian, Tony Lindgren, Sindri Magnússon, Olof Steinert, Oskar Andersson Reyna

CoRR, 2024

2023

A General Framework to Distribute Iterative Algorithms With Localized Information Over Networks.

Thomas Ohlson Timoudas, Silun Zhang, Sindri Magnússon, Carlo Fischione

IEEE Trans. Autom. Control., December, 2023

Improved Step-Size Schedules for Proximal Noisy Gradient Methods.

Sarit Khirirat, Xiaoyu Wang, Sindri Magnússon, Mikael Johansson

IEEE Trans. Signal Process., 2023

Eyes can draw: A high-fidelity free-eye drawing method with unimodal gaze control.

Lida Huang, Thomas Westin, Mirjam Palosaari Eladhari, Sindri Magnússon, Hao Chen

Int. J. Hum. Comput. Stud., 2023

Asynchronous Distributed Optimization with Delay-free Parameters.

Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson

CoRR, 2023

Human-Inspired Framework to Accelerate Reinforcement Learning.

Ali Beikmohammadi, Sindri Magnússon

CoRR, 2023

Distributed safe resource allocation using barrier functions.

Xuyang Wu, Sindri Magnússon, Mikael Johansson

Autom., 2023

AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning.

Zahra Kharazian, Mahmoud Rahat, Fábio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnússon

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Robust Contrastive Learning and Multi-shot Voting for High-dimensional Multivariate Data-driven Prognostics.

Kaiji Sun, Sindri Magnússon, Olof Steinert, Tony Lindgren

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

Delay-agnostic Asynchronous Coordinate Update Algorithm.

Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson

Proceedings of the International Conference on Machine Learning, 2023

Intelligent Processing of Data Streams on the Edge Using Reinforcement Learning.

Shubham Vaishnav, Sindri Magnússon

Proceedings of the IEEE International Conference on Communications, 2023

Energy-Efficient and Adaptive Gradient Sparsification for Federated Learning.

Shubham Vaishnav, Maria Efthymiou, Sindri Magnússon

Proceedings of the IEEE International Conference on Communications, 2023

Delay-Agnostic Asynchronous Distributed Optimization.

Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning.

Ali Beikmohammadi, Sindri Magnússon

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms.

Ali Beikmohammadi, Sindri Magnússon

Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

Improving and Analyzing Sketchy High-Fidelity Free-Eye Drawing.

Lida Huang, Mirjam Palosaari Eladhari, Sindri Magnússon, Hao Chen, Ruijie Guo

Proceedings of the 2023 ACM Designing Interactive Systems Conference, 2023

2022

Federated Learning for IoUT: Concepts, Applications, Challenges and Future Directions.

Nancy Victor, Rajeswari Chengoden, Mamoun Alazab, Sweta Bhattacharya, Sindri Magnússon, Praveen Kumar Reddy Maddikunta, Kadiyala Ramana, Thippa Reddy Gadekallu

IEEE Internet Things Mag., 2022

Federated Learning for IoUT: Concepts, Applications, Challenges and Opportunities.

Nancy Victor, Rajeswari, Mamoun Alazab, Sweta Bhattacharya, Sindri Magnússon, Praveen Kumar Reddy Maddikunta, Kadiyala Ramana, Thippa Reddy Gadekallu

CoRR, 2022

Delay-Adaptive Step-sizes for Asynchronous Learning.

Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson

Proceedings of the International Conference on Machine Learning, 2022

Eco-Fedsplit: Federated Learning with Error-Compensated Compression.

Sarit Khirirat, Sindri Magnússon, Mikael Johansson

Proceedings of the IEEE International Conference on Acoustics, 2022

Interactive Painting Volumetric Cloud Scenes with Simple Sketches Based on Deep Learning.

Lida Huang, Mirjam Palosaari Eladhari, Sindri Magnússon, Thomas Westin, Nanxu Su

Proceedings of the 15th International Conference on Human System Interaction, 2022

Leakage Localization in Water Distribution Networks: A Model-Based Approach.

Ludvig Lindström, Sebin Gracy, Sindri Magnússon, Henrik Sandberg

Proceedings of the European Control Conference, 2022

Policy Evaluation with Delayed, Aggregated Anonymous Feedback.

Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén

Proceedings of the Discovery Science - 25th International Conference, 2022

Optimal convergence rates of totally asynchronous optimization.

Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning.

Maria Bampa, Tobias Fasth, Sindri Magnússon, Panagiotis Papapetrou

Proceedings of the Artificial Intelligence in Medicine, 2022

2021

Compressed Gradient Methods With Hessian-Aided Error Compensation.

Sarit Khirirat, Sindri Magnússon, Mikael Johansson

IEEE Trans. Signal Process., 2021

Distributed Newton Method Over Graphs: Can Sharing of Second-Order Information Eliminate the Condition Number Dependence?

Erik Berglund, Sindri Magnússon, Mikael Johansson

IEEE Signal Process. Lett., 2021

On the Convergence of Step Decay Step-Size for Stochastic Optimization.

Xiaoyu Wang, Sindri Magnússon, Mikael Johansson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improved Step-Size Schedules for Noisy Gradient Methods.

Sarit Khirirat, Xiaoyu Wang, Sindri Magnússon, Mikael Johansson

Proceedings of the IEEE International Conference on Acoustics, 2021

A New Family of Feasible Methods for Distributed Resource Allocation.

Xuyang Wu, Sindri Magnússon, Mikael Johansson

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

A Flexible Framework for Communication-Efficient Machine Learning.

Sarit Khirirat, Sindri Magnússon, Arda Aytekin, Mikael Johansson

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication.

Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li

IEEE Trans. Signal Process., 2020

Distributed Optimal Voltage Control With Asynchronous and Delayed Communication.

Sindri Magnússon, Guannan Qu, Na Li

IEEE Trans. Smart Grid, 2020

Communication-efficient Variance-reduced Stochastic Gradient Descent.

Hossein Shokri Ghadikolaei, Sindri Magnússon

CoRR, 2020

The Internet of Things as a Deep Neural Network.

Rong Du, Sindri Magnússon, Carlo Fischione

IEEE Commun. Mag., 2020

2019

Voltage Control Using Limited Communication.

Sindri Magnússon, Guannan Qu, Carlo Fischione, Na Li

IEEE Trans. Control. Netw. Syst., 2019

Convergence Bounds for Compressed Gradient Methods with Memory Based Error Compensation.

Sarit Khirirat, Sindri Magnússon, Mikael Johansson

Proceedings of the IEEE International Conference on Acoustics, 2019

Optimal Voltage Control Using Event Triggered Communication.

Sindri Magnússon, Carlo Fischione, Na Li

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Distributed Voltage Control with Communication Delays.

Sindri Magnússon, Guannan Qu, Na Li

Proceedings of the 2019 American Control Conference, 2019

2018

Convergence of Limited Communication Gradient Methods.

Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh

IEEE Trans. Autom. Control., 2018

Communication Complexity of Dual Decomposition Methods for Distributed Resource Allocation Optimization.

Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh

IEEE J. Sel. Top. Signal Process., 2018

2017

Bandwidth Limited Distributed Optimization with Applications to Networked Cyberphysical Systems.

Sindri Magnússon

PhD thesis, 2017

2016

On the Convergence of Alternating Direction Lagrangian Methods for Nonconvex Structured Optimization Problems.

Sindri Magnússon, Pradeep Chathuranga Weeraddana, Michael G. Rabbat, Carlo Fischione

IEEE Trans. Control. Netw. Syst., 2016

Extensions of Fast-Lipschitz Optimization.

Martin Jakobsson, Sindri Magnússon, Carlo Fischione, Pradeep Chathuranga Weeraddana

IEEE Trans. Autom. Control., 2016

Robustness analysis for an online decentralized descent power allocation algorithm.

Chinwendu Enyioha, Sindri Magnússon, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh

Proceedings of the 2016 Information Theory and Applications Workshop, 2016

A distributed approach for the optimal power flow problem.

Sindri Magnússon, Pradeep Chathuranga Weeraddana, Carlo Fischione

Proceedings of the 15th European Control Conference, 2016

On some extensions of Fast-Lipschitz optimization.

Sindri Magnússon, Martin Jakobsson, Carlo Fischione, Pradeep Chathuranga Weeraddana

Proceedings of the 15th European Control Conference, 2016

Distributed resource allocation using one-way communication with applications to power networks.

Sindri Magnússon, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh

Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

Practical coding schemes for bandwidth limited one-way communication resource allocation.

Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Convergence of limited communications gradient methods.

Sindri Magnússon, Kathryn Heal, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh

Proceedings of the 2016 American Control Conference, 2016

2015

A Distributed Approach for the Optimal Power-Flow Problem Based on ADMM and Sequential Convex Approximations.

Sindri Magnússon, Pradeep Chathuranga Weeraddana, Carlo Fischione

IEEE Trans. Control. Netw. Syst., 2015

2014

On the convergence of an alternating direction penalty method for nonconvex problems.

Sindri Magnússon, P. C. Weeraddana, Michael G. Rabbat, Carlo Fischione

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014