Sindri Magnússon

IEEE Internet Things J., January, 2025

2024

A Strategy Fusion-Based Multiobjective Optimization Approach for Agile Earth Observation Satellite Scheduling Problem.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

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

[BibT_eX]

[DOI]

Inf. Sci., 2024

Average Consensus With Error Correction.

[BibT_eX]

[DOI]

Diego R. Benalcázar

Chinwendu Enyioha

IEEE Control. Syst. Lett., 2024

On the Convergence of Federated Learning Algorithms without Data Similarity.

[BibT_eX]

[DOI]

CoRR, 2024

Distributed Momentum Methods Under Biased Gradient Estimations.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Mohammad Hosein Hamian

CoRR, 2024

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

[BibT_eX]

[DOI]

Oskar Andersson Reyna

CoRR, 2024

Policy Control with Delayed, Aggregate, and Anonymous Feedback.

[BibT_eX]

[DOI]

Guilherme Dinis Junior

Jaakko Hollmén

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Compressed Federated Reinforcement Learning with a Generative Model.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

On the Convergence of TD-Learning on Markov Reward Processes with Hidden States.

[BibT_eX]

[DOI]

Mohsen Amiri

Proceedings of the European Control Conference, 2024

2023

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

[BibT_eX]

[DOI]

Thomas Ohlson Timoudas

Silun Zhang

Mirjam Palosaari Eladhari

IEEE Trans. Autom. Control., December, 2023

Improved Step-Size Schedules for Proximal Noisy Gradient Methods.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Adaptive Hyperparameter Selection for Differentially Private Gradient Descent.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

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

[BibT_eX]

[DOI]

Lida Huang

Thomas Westin

Hao Chen

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

Asynchronous Distributed Optimization with Delay-free Parameters.

[BibT_eX]

[DOI]

CoRR, 2023

Human-Inspired Framework to Accelerate Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Distributed safe resource allocation using barrier functions.

[BibT_eX]

[DOI]

Peyman Sheikholharam Mashhadi

Autom., 2023

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

[BibT_eX]

[DOI]

Zahra Kharazian

Mahmoud Rahat

Fábio F. Gama

Slawomir Nowaczyk

Tony Lindgren

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

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

[BibT_eX]

[DOI]

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

Delay-agnostic Asynchronous Coordinate Update Algorithm.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

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

[BibT_eX]

[DOI]

Shubham Vaishnav

Proceedings of the IEEE International Conference on Communications, 2023

Energy-Efficient and Adaptive Gradient Sparsification for Federated Learning.

[BibT_eX]

[DOI]

Shubham Vaishnav

Maria Efthymiou

Proceedings of the IEEE International Conference on Communications, 2023

Delay-Agnostic Asynchronous Distributed Optimization.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mirjam Palosaari Eladhari

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

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

[BibT_eX]

[DOI]

Lida Huang

Praveen Kumar Reddy Maddikunta

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.

[BibT_eX]

[DOI]

Kadiyala Ramana

Thippa Reddy Gadekallu

IEEE Internet Things Mag., 2022

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

[BibT_eX]

[DOI]

Praveen Kumar Reddy Maddikunta

Kadiyala Ramana

Thippa Reddy Gadekallu

CoRR, 2022

Delay-Adaptive Step-sizes for Asynchronous Learning.

[BibT_eX]

[DOI]

Hamid Reza Feyzmahdavian

Proceedings of the International Conference on Machine Learning, 2022

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

[BibT_eX]

[DOI]

Mirjam Palosaari Eladhari

Proceedings of the IEEE International Conference on Acoustics, 2022

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

[BibT_eX]

[DOI]

Lida Huang

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.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2022

Policy Evaluation with Delayed, Aggregated Anonymous Feedback.

[BibT_eX]

[DOI]

Guilherme Dinis Junior

Jaakko Hollmén

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

Optimal convergence rates of totally asynchronous optimization.

[BibT_eX]

[DOI]

Hamid Reza Feyzmahdavian

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

EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning.

[BibT_eX]

[DOI]

Maria Bampa

Tobias Fasth

Panagiotis Papapetrou

Proceedings of the Artificial Intelligence in Medicine, 2022

2021

Compressed Gradient Methods With Hessian-Aided Error Compensation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

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

[BibT_eX]

[DOI]

Erik Berglund

IEEE Signal Process. Lett., 2021

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

[BibT_eX]

[DOI]

Xiaoyu Wang

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

A New Family of Feasible Methods for Distributed Resource Allocation.

[BibT_eX]

[DOI]

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

A Flexible Framework for Communication-Efficient Machine Learning.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

Hossein Shokri Ghadikolaei

IEEE Trans. Signal Process., 2020

Distributed Optimal Voltage Control With Asynchronous and Delayed Communication.

[BibT_eX]

[DOI]

Guannan Qu

Hossein Shokri Ghadikolaei

IEEE Trans. Smart Grid, 2020

Communication-efficient Variance-reduced Stochastic Gradient Descent.

[BibT_eX]

[DOI]

CoRR, 2020

The Internet of Things as a Deep Neural Network.

[BibT_eX]

[DOI]

Rong Du

IEEE Commun. Mag., 2020

2019

Voltage Control Using Limited Communication.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2019

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Optimal Voltage Control Using Event Triggered Communication.

[BibT_eX]

[DOI]

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

Distributed Voltage Control with Communication Delays.

[BibT_eX]

[DOI]

Guannan Qu

Proceedings of the 2019 American Control Conference, 2019

2018

Convergence of Limited Communication Gradient Methods.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

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

[BibT_eX]

[DOI]

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

2017

Bandwidth Limited Distributed Optimization with Applications to Networked Cyberphysical Systems.

[BibT_eX]

[DOI]

PhD thesis, 2017

2016

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

[BibT_eX]

[DOI]

Michael G. Rabbat

IEEE Trans. Control. Netw. Syst., 2016

Extensions of Fast-Lipschitz Optimization.

[BibT_eX]

[DOI]

Martin Jakobsson

IEEE Trans. Autom. Control., 2016

Robustness analysis for an online decentralized descent power allocation algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2016 Information Theory and Applications Workshop, 2016

A distributed approach for the optimal power flow problem.

[BibT_eX]

[DOI]

Proceedings of the 15th European Control Conference, 2016

On some extensions of Fast-Lipschitz optimization.

[BibT_eX]

[DOI]

Martin Jakobsson

Proceedings of the 15th European Control Conference, 2016

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Convergence of limited communications gradient methods.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]