On the convergence of an alternating direction penalty method for nonconvex problems. - Sindri Magnússon; P. C. Weeraddana; Michael G. Rabbat; Carlo Fischione (ACSSC, 2014)

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)

Convergence of limited communications gradient methods. - Sindri Magnússon; Kathryn Heal; Chinwendu Enyioha; Na Li 002; Carlo Fischione; Vahid Tarokh (ACC, 2016)

Practical coding schemes for bandwidth limited one-way communication resource allocation. - Sindri Magnússon; Chinwendu Enyioha; Na Li 002; Carlo Fischione (CDC, 2016)

Distributed resource allocation using one-way communication with applications to power networks. - Sindri Magnússon; Chinwendu Enyioha; Kathryn Heal; Na Li 002; Carlo Fischione; Vahid Tarokh (CISS, 2016)

On some extensions of Fast-Lipschitz optimization. - Sindri Magnússon; Martin Jakobsson; Carlo Fischione; Pradeep Chathuranga Weeraddana (ECC, 2016)

A distributed approach for the optimal power flow problem. - Sindri Magnússon; Pradeep Chathuranga Weeraddana; Carlo Fischione (ECC, 2016)

Robustness analysis for an online decentralized descent power allocation algorithm. - Chinwendu Enyioha; Sindri Magnússon; Kathryn Heal; Na Li 002; Carlo Fischione; Vahid Tarokh (ITA, 2016)

Extensions of Fast-Lipschitz Optimization. - Martin Jakobsson; Sindri Magnússon; Carlo Fischione; Pradeep Chathuranga Weeraddana (IEEE Trans. Autom. Control., 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)

Bandwidth Limited Distributed Optimization with Applications to Networked Cyberphysical Systems. - Sindri Magnússon (2017)

Communication Complexity of Dual Decomposition Methods for Distributed Resource Allocation Optimization. - Sindri Magnússon; Chinwendu Enyioha; Na Li 002; Carlo Fischione; Vahid Tarokh (IEEE J. Sel. Top. Signal Process., 2018)

Convergence of Limited Communication Gradient Methods. - Sindri Magnússon; Chinwendu Enyioha; Na Li 002; Carlo Fischione; Vahid Tarokh (IEEE Trans. Autom. Control., 2018)

Distributed Voltage Control with Communication Delays. - Sindri Magnússon; Guannan Qu; Na Li 002 (ACC, 2019)

Optimal Voltage Control Using Event Triggered Communication. - Sindri Magnússon; Carlo Fischione; Na Li 002 (e-Energy, 2019)

Convergence Bounds for Compressed Gradient Methods with Memory Based Error Compensation. - Sarit Khirirat; Sindri Magnússon; Mikael Johansson 001 (ICASSP, 2019)

Voltage Control Using Limited Communication. - Sindri Magnússon; Guannan Qu; Carlo Fischione; Na Li 002 (IEEE Trans. Control. Netw. Syst., 2019)

The Internet of Things as a Deep Neural Network. - Rong Du; Sindri Magnússon; Carlo Fischione (IEEE Commun. Mag., 2020)

Communication-efficient Variance-reduced Stochastic Gradient Descent. - Hossein Shokri Ghadikolaei; Sindri Magnússon (CoRR, 2020)

Distributed Optimal Voltage Control With Asynchronous and Delayed Communication. - Sindri Magnússon; Guannan Qu; Na Li 002 (IEEE Trans. Smart Grid, 2020)

On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication. - Sindri Magnússon; Hossein Shokri Ghadikolaei; Na Li 002 (IEEE Trans. Signal Process., 2020)

A Flexible Framework for Communication-Efficient Machine Learning. - Sarit Khirirat; Sindri Magnússon; Arda Aytekin; Mikael Johansson 001 (AAAI, 2021)

A New Family of Feasible Methods for Distributed Resource Allocation. - Xuyang Wu 001; Sindri Magnússon; Mikael Johansson 001 (CDC, 2021)

Improved Step-Size Schedules for Noisy Gradient Methods. - Sarit Khirirat; Xiaoyu Wang 008; Sindri Magnússon; Mikael Johansson 001 (ICASSP, 2021)

On the Convergence of Step Decay Step-Size for Stochastic Optimization. - Xiaoyu Wang 008; Sindri Magnússon; Mikael Johansson 001 (NeurIPS, 2021)

Distributed Newton Method Over Graphs: Can Sharing of Second-Order Information Eliminate the Condition Number Dependence? - Erik Berglund 004; Sindri Magnússon; Mikael Johansson 001 (IEEE Signal Process. Lett., 2021)

Compressed Gradient Methods With Hessian-Aided Error Compensation. - Sarit Khirirat; Sindri Magnússon; Mikael Johansson 001 (IEEE Trans. Signal Process., 2021)

EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning. - Maria Bampa; Tobias Fasth; Sindri Magnússon; Panagiotis Papapetrou (AIME, 2022)

Optimal convergence rates of totally asynchronous optimization. - Xuyang Wu 001; Sindri Magnússon; Hamid Reza Feyzmahdavian; Mikael Johansson 001 (CDC, 2022)

Policy Evaluation with Delayed, Aggregated Anonymous Feedback. - Guilherme Dinis Junior; Sindri Magnússon; Jaakko Hollmén (DS, 2022)

Leakage Localization in Water Distribution Networks: A Model-Based Approach. - Ludvig Lindström; Sebin Gracy; Sindri Magnússon; Henrik Sandberg (ECC, 2022)

Interactive Painting Volumetric Cloud Scenes with Simple Sketches Based on Deep Learning. - Lida Huang; Mirjam Palosaari Eladhari; Sindri Magnússon; Thomas Westin; Nanxu Su (HSI, 2022)

Eco-Fedsplit: Federated Learning with Error-Compensated Compression. - Sarit Khirirat; Sindri Magnússon; Mikael Johansson 001 (ICASSP, 2022)

Delay-Adaptive Step-sizes for Asynchronous Learning. - Xuyang Wu 001; Sindri Magnússon; Hamid Reza Feyzmahdavian; Mikael Johansson 001 (ICML, 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)

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)

Improving and Analyzing Sketchy High-Fidelity Free-Eye Drawing. - Lida Huang; Mirjam Palosaari Eladhari; Sindri Magnússon; Hao Chen; Ruijie Guo (Conference on Designing Interactive Systems, 2023)

Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. - Ali Beikmohammadi; Sindri Magnússon (AGI, 2023)

TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning. - Ali Beikmohammadi; Sindri Magnússon (AAMAS, 2023)

Delay-Agnostic Asynchronous Distributed Optimization. - Xuyang Wu 001; Changxin Liu 001; Sindri Magnússon; Mikael Johansson 001 (CDC, 2023)

Energy-Efficient and Adaptive Gradient Sparsification for Federated Learning. - Shubham Vaishnav; Maria Efthymiou; Sindri Magnússon (ICC, 2023)

Intelligent Processing of Data Streams on the Edge Using Reinforcement Learning. - Shubham Vaishnav; Sindri Magnússon (ICC Workshops, 2023)

Delay-agnostic Asynchronous Coordinate Update Algorithm. - Xuyang Wu 001; Changxin Liu 001; Sindri Magnússon; Mikael Johansson 001 (ICML, 2023)

Robust Contrastive Learning and Multi-shot Voting for High-dimensional Multivariate Data-driven Prognostics. - Kaiji Sun; Sindri Magnússon; Olof Steinert; Tony Lindgren (ICPHM, 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 (IDA, 2023)

Distributed safe resource allocation using barrier functions. - Xuyang Wu 001; Sindri Magnússon; Mikael Johansson 001 (Autom., 2023)

Asynchronous Distributed Optimization with Delay-free Parameters. - Xuyang Wu 001; Changxin Liu 001; Sindri Magnússon; Mikael Johansson 001 (CoRR, 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)

Adaptive Hyperparameter Selection for Differentially Private Gradient Descent. - Dominik Fay; Sindri Magnússon; Jens Sjölund; Mikael Johansson 001 (Trans. Mach. Learn. Res., 2023)

Improved Step-Size Schedules for Proximal Noisy Gradient Methods. - Sarit Khirirat; Xiaoyu Wang 008; Sindri Magnússon; Mikael Johansson 001 (IEEE Trans. Signal Process., 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., 2023)

CoPAL: Conformal Prediction in Active Learning An Algorithm for Enhancing Remaining Useful Life Estimation in Predictive Maintenance. - Zahra Kharazian; Tony Lindgren; Sindri Magnússon; Henrik Boström (COPA, 2024)

On the Convergence of TD-Learning on Markov Reward Processes with Hidden States. - Mohsen Amiri; Sindri Magnússon (ECC, 2024)

Compressed Federated Reinforcement Learning with a Generative Model. - Ali Beikmohammadi; Sarit Khirirat; Sindri Magnússon (ECML/PKDD (4), 2024)

Policy Control with Delayed, Aggregate, and Anonymous Feedback. - Guilherme Dinis Junior; Sindri Magnússon; Jaakko Hollmén (ECML/PKDD (6), 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)

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)

Distributed Momentum Methods Under Biased Gradient Estimations. - Ali Beikmohammadi; Sarit Khirirat; Sindri Magnússon (CoRR, 2024)

Average Consensus With Error Correction. - Diego R. Benalcázar; Sindri Magnússon; Chinwendu Enyioha (IEEE Control. Syst. Lett., 2024)

Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge. - Ali Beikmohammadi; Sindri Magnússon (Inf. Sci., 2024)

A Strategy Fusion-Based Multiobjective Optimization Approach for Agile Earth Observation Satellite Scheduling Problem. - He Wang; Weiquan Huang; Sindri Magnússon; Tony Lindgren; Ran Wang; Yanjie Song 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Communication-Adaptive-Gradient Sparsification for Federated Learning With Error Compensation. - Shubham Vaishnav; Sarit Khirirat; Sindri Magnússon (IEEE Internet Things J., 2025)

Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems. - Alfreds Lapkovskis; Boris Sedlak; Sindri Magnússon; Schahram Dustdar; Praveen Kumar Donta (CoRR, 2025)

Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis. - Ali Beikmohammadi; Sarit Khirirat; Peter Richtárik; Sindri Magnússon (CoRR, 2025)

Reinforcement Learning in Switching Non-Stationary Markov Decision Processes: Algorithms and Convergence Analysis. - Mohsen Amiri; Sindri Magnússon (CoRR, 2025)

On the Convergence of Federated Learning Algorithms Without Data Similarity. - Ali Beikmohammadi; Sarit Khirirat; Sindri Magnússon (IEEE Trans. Big Data, 2025)

Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning. - Shubham Vaishnav; Praveen Kumar Donta; Sindri Magnússon (CoRR, 2025)

Adaptive Budgeted Multi-Armed Bandits for IoT with Dynamic Resource Constraints. - Shubham Vaishnav; Praveen Kumar Donta; Sindri Magnússon (CoRR, 2025)

Parallel Momentum Methods Under Biased Gradient Estimations. - Ali Beikmohammadi; Sarit Khirirat; Sindri Magnússon (IEEE Trans. Control. Netw. Syst., 2025)

Human-inspired framework to accelerate reinforcement learning. - Ali Beikmohammadi; Sindri Magnússon (J. Supercomput., 2025)