Sindri Magnússon

93 papers A* 4A 2B 4C 3Misc 7Journal 53Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Asynchronous Distributed Optimization With Delay-free Parameters. IEEE Trans. Autom. Control. Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson
2026	J	`jnl`	Communication-efficient online federated composite optimization. Autom. Haibao Tian, Xiuxian Li, Zhengguang Wu, Sindri Magnússon
2026	J	`jnl`	Socio-technical aspects of Agentic AI. CoRR Praveen Kumar Donta, Alaa Saleh, Ying Li, Shubham Vaishnav, Kai Fang, Hailin Feng, Yuchao Xia, Thippa Reddy Gadekallu, Qiyang Zhang, Xiaodan Shi, Ali Beikmohammadi, Sindri Magnússon, Ilir Murturi, Chinmaya Kumar Dehury, Marcin Paprzycki, Lauri Lovén, Sasu Tarkoma, Schahram Dustdar
2025	B	`conf`	Adaptive Budgeted Multi-Armed Bandits for IoT with Dynamic Resource Constraints. GLOBECOM Shubham Vaishnav, Praveen Kumar Donta, Sindri Magnússon
2025	J	`jnl`	Adaptive Budgeted Multi-Armed Bandits for IoT with Dynamic Resource Constraints. CoRR Shubham Vaishnav, Praveen Kumar Donta, Sindri Magnússon
2025	—	`conf`	Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems. EDGE Alfreds Lapkovskis, Boris Sedlak, Sindri Magnússon, Schahram Dustdar, Praveen Kumar Donta
2025	J	`jnl`	Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems. CoRR Alfreds Lapkovskis, Boris Sedlak, Sindri Magnússon, Schahram Dustdar, Praveen Kumar Donta
2025	J	`jnl`	Challenger-Based Combinatorial Bandits for Subcarrier Selection in OFDM Systems. CoRR Mohsen Amiri, V. Venktesh, Sindri Magnússon
2025	—	`conf`	Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis. ECML/PKDD (6) Ali Beikmohammadi, Sarit Khirirat, Peter Richtárik, Sindri Magnússon
2025	J	`jnl`	Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis. CoRR Ali Beikmohammadi, Sarit Khirirat, Peter Richtárik, Sindri Magnússon
2025	J	`jnl`	Communication-Adaptive-Gradient Sparsification for Federated Learning With Error Compensation. IEEE Internet Things J. Shubham Vaishnav, Sarit Khirirat, Sindri Magnússon
2025	J	`jnl`	Crowding distance and IGD-driven grey wolf reinforcement learning approach for multi-objective agile earth observation satellite scheduling. Int. J. Digit. Earth He Wang, Weiquan Huang, Sindri Magnússon, Tony Lindgren, Chen Chen, Junyu Wu, Yanjie Song
2025	—	`conf`	Distributed Gradient-Tracking Optimization with Packet-Error Resilience in Unreliable Networks. ECC Evagoras Makridis, Sindri Magnússon, Themistoklis Charalambous
2025	J	`jnl`	Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning. CoRR Shubham Vaishnav, Praveen Kumar Donta, Sindri Magnússon
2025	J	`jnl`	Human-inspired framework to accelerate reinforcement learning. J. Supercomput. Ali Beikmohammadi, Sindri Magnússon
2025	J	`jnl`	MARBLE: Multi-Armed Restless Bandits in Latent Markovian Environment. CoRR Mohsen Amiri, Konstantin Avrachenkov, Ibtihal El Mimouni, Sindri Magnússon
2025	J	`jnl`	On the Convergence of Federated Learning Algorithms Without Data Similarity. IEEE Trans. Big Data Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
2025	J	`jnl`	Parallel Momentum Methods Under Biased Gradient Estimations. IEEE Trans. Control. Netw. Syst. Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
2025	J	`jnl`	Reinforcement Learning in Switching Non-Stationary Markov Decision Processes: Algorithms and Convergence Analysis. CoRR Mohsen Amiri, Sindri Magnússon
2024	J	`jnl`	A Cost-Sensitive Transformer Model for Prognostics Under Highly Imbalanced Industrial Data. CoRR Ali Beikmohammadi, Mohammad Hosein Hamian, Neda Khoeyniha, Tony Lindgren, Olof Steinert, Sindri Magnússon
2024	J	`jnl`	A Strategy Fusion-Based Multiobjective Optimization Approach for Agile Earth Observation Satellite Scheduling Problem. IEEE Trans. Geosci. Remote. Sens. He Wang, Weiquan Huang, Sindri Magnússon, Tony Lindgren, Ran Wang, Yanjie Song
2024	J	`jnl`	Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge. Inf. Sci. Ali Beikmohammadi, Sindri Magnússon
2024	J	`jnl`	Average Consensus With Error Correction. IEEE Control. Syst. Lett. Diego R. Benalcázar, Sindri Magnússon, Chinwendu Enyioha
2024	—	`conf`	CoPAL: Conformal Prediction in Active Learning An Algorithm for Enhancing Remaining Useful Life Estimation in Predictive Maintenance. COPA Zahra Kharazian, Tony Lindgren, Sindri Magnússon, Henrik Boström
2024	—	`conf`	Compressed Federated Reinforcement Learning with a Generative Model. ECML/PKDD (4) Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
2024	J	`jnl`	Compressed Federated Reinforcement Learning with a Generative Model. CoRR Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
2024	J	`jnl`	Distributed Momentum Methods Under Biased Gradient Estimations. CoRR Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
2024	J	`jnl`	On the Convergence of Federated Learning Algorithms without Data Similarity. CoRR Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
2024	—	`conf`	On the Convergence of TD-Learning on Markov Reward Processes with Hidden States. ECC Mohsen Amiri, Sindri Magnússon
2024	—	`conf`	Policy Control with Delayed, Aggregate, and Anonymous Feedback. ECML/PKDD (6) Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén
2024	J	`jnl`	SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance. CoRR Zahra Kharazian, Tony Lindgren, Sindri Magnússon, Olof Steinert, Oskar Andersson Reyna
2023	J	`jnl`	A General Framework to Distribute Iterative Algorithms With Localized Information Over Networks. IEEE Trans. Autom. Control. Thomas Ohlson Timoudas, Silun Zhang, Sindri Magnússon, Carlo Fischione
2023	B	`conf`	AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning. IDA Zahra Kharazian, Mahmoud Rahat, Fábio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnússon
2023	J	`jnl`	Adaptive Hyperparameter Selection for Differentially Private Gradient Descent. Trans. Mach. Learn. Res. Dominik Fay, Sindri Magnússon, Jens Sjölund, Mikael Johansson
2023	J	`jnl`	Asynchronous Distributed Optimization with Delay-free Parameters. CoRR Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson
2023	—	`conf`	Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. AGI Ali Beikmohammadi, Sindri Magnússon
2023	J	`jnl`	Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. CoRR Ali Beikmohammadi, Sindri Magnússon
2023	—	`conf`	Delay-Agnostic Asynchronous Distributed Optimization. CDC Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson
2023	A*	`conf`	Delay-agnostic Asynchronous Coordinate Update Algorithm. ICML Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson
2023	J	`jnl`	Distributed safe resource allocation using barrier functions. Autom. Xuyang Wu, Sindri Magnússon, Mikael Johansson
2023	—	`conf`	Energy-Efficient and Adaptive Gradient Sparsification for Federated Learning. ICC Shubham Vaishnav, Maria Efthymiou, Sindri Magnússon
2023	J	`jnl`	Eyes can draw: A high-fidelity free-eye drawing method with unimodal gaze control. Int. J. Hum. Comput. Stud. Lida Huang, Thomas Westin, Mirjam Palosaari Eladhari, Sindri Magnússon, Hao Chen
2023	J	`jnl`	Human-Inspired Framework to Accelerate Reinforcement Learning. CoRR Ali Beikmohammadi, Sindri Magnússon
2023	J	`jnl`	Improved Step-Size Schedules for Proximal Noisy Gradient Methods. IEEE Trans. Signal Process. Sarit Khirirat, Xiaoyu Wang, Sindri Magnússon, Mikael Johansson
2023	A	`conf`	Improving and Analyzing Sketchy High-Fidelity Free-Eye Drawing. Conference on Designing Interactive Systems Lida Huang, Mirjam Palosaari Eladhari, Sindri Magnússon, Hao Chen, Ruijie Guo
2023	—	`conf`	Intelligent Processing of Data Streams on the Edge Using Reinforcement Learning. ICC Workshops Shubham Vaishnav, Sindri Magnússon
2023	—	`conf`	Robust Contrastive Learning and Multi-shot Voting for High-dimensional Multivariate Data-driven Prognostics. ICPHM Kaiji Sun, Sindri Magnússon, Olof Steinert, Tony Lindgren
2023	A	`conf`	TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning. AAMAS Ali Beikmohammadi, Sindri Magnússon
2022	A*	`conf`	Delay-Adaptive Step-sizes for Asynchronous Learning. ICML Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson
2022	J	`jnl`	Delay-adaptive step-sizes for asynchronous learning. CoRR Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson
2022	Misc	`conf`	Eco-Fedsplit: Federated Learning with Error-Compensated Compression. ICASSP Sarit Khirirat, Sindri Magnússon, Mikael Johansson
2022	B	`conf`	EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning. AIME Maria Bampa, Tobias Fasth, Sindri Magnússon, Panagiotis Papapetrou
2022	J	`jnl`	Federated Learning for IoUT: Concepts, Applications, Challenges and Future Directions. IEEE Internet Things Mag. Nancy Victor, Rajeswari Chengoden, Mamoun Alazab, Sweta Bhattacharya, Sindri Magnússon, Praveen Kumar Reddy Maddikunta, Kadiyala Ramana, Thippa Reddy Gadekallu
2022	J	`jnl`	Federated Learning for IoUT: Concepts, Applications, Challenges and Opportunities. CoRR Nancy Victor, Rajeswari, Mamoun Alazab, Sweta Bhattacharya, Sindri Magnússon, Praveen Kumar Reddy Maddikunta, Kadiyala Ramana, Thippa Reddy Gadekallu
2022	C	`conf`	Interactive Painting Volumetric Cloud Scenes with Simple Sketches Based on Deep Learning. HSI Lida Huang, Mirjam Palosaari Eladhari, Sindri Magnússon, Thomas Westin, Nanxu Su
2022	—	`conf`	Leakage Localization in Water Distribution Networks: A Model-Based Approach. ECC Ludvig Lindström, Sebin Gracy, Sindri Magnússon, Henrik Sandberg
2022	J	`jnl`	Leakage Localization in Water Distribution Networks: A Model-Based Approach. CoRR Ludvig Lindström, Sebin Gracy, Sindri Magnússon, Henrik Sandberg
2022	—	`conf`	Optimal convergence rates of totally asynchronous optimization. CDC Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson
2022	B	`conf`	Policy Evaluation with Delayed, Aggregated Anonymous Feedback. DS Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén
2021	A*	`conf`	A Flexible Framework for Communication-Efficient Machine Learning. AAAI Sarit Khirirat, Sindri Magnússon, Arda Aytekin, Mikael Johansson
2021	—	`conf`	A New Family of Feasible Methods for Distributed Resource Allocation. CDC Xuyang Wu, Sindri Magnússon, Mikael Johansson
2021	J	`jnl`	Compressed Gradient Methods With Hessian-Aided Error Compensation. IEEE Trans. Signal Process. Sarit Khirirat, Sindri Magnússon, Mikael Johansson
2021	J	`jnl`	Distributed Newton Method Over Graphs: Can Sharing of Second-Order Information Eliminate the Condition Number Dependence? IEEE Signal Process. Lett. Erik Berglund, Sindri Magnússon, Mikael Johansson
2021	Misc	`conf`	Improved Step-Size Schedules for Noisy Gradient Methods. ICASSP Sarit Khirirat, Xiaoyu Wang, Sindri Magnússon, Mikael Johansson
2021	A*	`conf`	On the Convergence of Step Decay Step-Size for Stochastic Optimization. NeurIPS Xiaoyu Wang, Sindri Magnússon, Mikael Johansson
2021	J	`jnl`	On the Convergence of Step Decay Step-Size for Stochastic Optimization. CoRR Xiaoyu Wang, Sindri Magnússon, Mikael Johansson
2020	J	`jnl`	Communication-efficient Variance-reduced Stochastic Gradient Descent. CoRR Hossein Shokri Ghadikolaei, Sindri Magnússon
2020	J	`jnl`	Distributed Optimal Voltage Control With Asynchronous and Delayed Communication. IEEE Trans. Smart Grid Sindri Magnússon, Guannan Qu, Na Li
2020	J	`jnl`	On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication. IEEE Trans. Signal Process. Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li
2020	J	`jnl`	The Internet of Things as a Deep Neural Network. IEEE Commun. Mag. Rong Du, Sindri Magnússon, Carlo Fischione
2020	J	`jnl`	The Internet of Things as a Deep Neural Network. CoRR Rong Du, Sindri Magnússon, Carlo Fischione
2019	Misc	`conf`	Convergence Bounds for Compressed Gradient Methods with Memory Based Error Compensation. ICASSP Sarit Khirirat, Sindri Magnússon, Mikael Johansson
2019	C	`conf`	Distributed Voltage Control with Communication Delays. ACC Sindri Magnússon, Guannan Qu, Na Li
2019	J	`jnl`	Distributed Voltage Control with Communication Delays. CoRR Sindri Magnússon, Guannan Qu, Na Li
2019	Misc	`conf`	On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication. ACSSC Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li
2019	J	`jnl`	On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication. CoRR Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li
2019	—	`conf`	Optimal Voltage Control Using Event Triggered Communication. e-Energy Sindri Magnússon, Carlo Fischione, Na Li
2019	J	`jnl`	Voltage Control Using Limited Communication. IEEE Trans. Control. Netw. Syst. Sindri Magnússon, Guannan Qu, Carlo Fischione, Na Li
2018	J	`jnl`	Communication Complexity of Dual Decomposition Methods for Distributed Resource Allocation Optimization. IEEE J. Sel. Top. Signal Process. Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh
2018	J	`jnl`	Convergence of Limited Communication Gradient Methods. IEEE Trans. Autom. Control. Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh
2017	—	`—`	Bandwidth Limited Distributed Optimization with Applications to Networked Cyberphysical Systems. Sindri Magnússon
2016	—	`conf`	A distributed approach for the optimal power flow problem. ECC Sindri Magnússon, Pradeep Chathuranga Weeraddana, Carlo Fischione
2016	C	`conf`	Convergence of limited communications gradient methods. ACC Sindri Magnússon, Kathryn Heal, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh
2016	J	`jnl`	Distributed Resource Allocation Using One-Way Communication with Applications to Power Networks. CoRR Sindri Magnússon, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh
2016	Misc	`conf`	Distributed resource allocation using one-way communication with applications to power networks. CISS Sindri Magnússon, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh
2016	J	`jnl`	Extensions of Fast-Lipschitz Optimization. IEEE Trans. Autom. Control. Martin Jakobsson, Sindri Magnússon, Carlo Fischione, Pradeep Chathuranga Weeraddana
2016	—	`conf`	On some extensions of Fast-Lipschitz optimization. ECC Sindri Magnússon, Martin Jakobsson, Carlo Fischione, Pradeep Chathuranga Weeraddana
2016	J	`jnl`	On the Convergence of Alternating Direction Lagrangian Methods for Nonconvex Structured Optimization Problems. IEEE Trans. Control. Netw. Syst. Sindri Magnússon, Pradeep Chathuranga Weeraddana, Michael G. Rabbat, Carlo Fischione
2016	—	`conf`	Practical coding schemes for bandwidth limited one-way communication resource allocation. CDC Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione
2016	J	`jnl`	Robustness Analysis for an Online Decentralized Descent Power allocation algorithm. CoRR Chinwendu Enyioha, Sindri Magnússon, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh
2016	Misc	`conf`	Robustness analysis for an online decentralized descent power allocation algorithm. ITA Chinwendu Enyioha, Sindri Magnússon, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh
2015	J	`jnl`	A Distributed Approach for the Optimal Power-Flow Problem Based on ADMM and Sequential Convex Approximations. IEEE Trans. Control. Netw. Syst. Sindri Magnússon, Pradeep Chathuranga Weeraddana, Carlo Fischione
2014	Misc	`conf`	On the convergence of an alternating direction penalty method for nonconvex problems. ACSSC Sindri Magnússon, P. C. Weeraddana, Michael G. Rabbat, Carlo Fischione