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ORCIDSindri Magnússon
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2020 – today
- 2025
[j21]Shubham Vaishnav
, Sarit Khirirat, Sindri Magnússon:
Communication-Adaptive-Gradient Sparsification for Federated Learning With Error Compensation. IEEE Internet Things J. 12(2): 1137-1152 (2025)- 2024
- [j20]Diego R. Benalcázar, Sindri Magnússon, Chinwendu Enyioha:
Average Consensus With Error Correction. IEEE Control. Syst. Lett. 8: 115-120 (2024) - [j19]Ali Beikmohammadi, Sindri Magnússon:
Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge. Inf. Sci. 661: 120182 (2024) - [j18]He Wang, Weiquan Huang, Sindri Magnússon, Tony Lindgren, Ran Wang, Yanjie Song:
A Strategy Fusion-Based Multiobjective Optimization Approach for Agile Earth Observation Satellite Scheduling Problem. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c34]Mohsen Amiri, Sindri Magnússon:
On the Convergence of TD-Learning on Markov Reward Processes with Hidden States. ECC 2024: 2097-2104 - [c33]Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon:
Compressed Federated Reinforcement Learning with a Generative Model. ECML/PKDD (4) 2024: 20-37 - [c32]Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén:
Policy Control with Delayed, Aggregate, and Anonymous Feedback. ECML/PKDD (6) 2024: 389-406 - [i18]Zahra Kharazian, Tony Lindgren, Sindri Magnússon, Olof Steinert, Oskar Andersson Reyna:
SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance. CoRR abs/2401.15199 (2024) - [i17]Ali Beikmohammadi, Mohammad Hosein Hamian, Neda Khoeyniha, Tony Lindgren, Olof Steinert, Sindri Magnússon:
A Cost-Sensitive Transformer Model for Prognostics Under Highly Imbalanced Industrial Data. CoRR abs/2402.08611 (2024) - [i16]Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon:
Distributed Momentum Methods Under Biased Gradient Estimations. CoRR abs/2403.00853 (2024) - [i15]Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon:
On the Convergence of Federated Learning Algorithms without Data Similarity. CoRR abs/2403.02347 (2024) - [i14]Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon:
Compressed Federated Reinforcement Learning with a Generative Model. CoRR abs/2404.10635 (2024) - 2023
- [j17]Xuyang Wu, Sindri Magnússon, Mikael Johansson:
Distributed safe resource allocation using barrier functions. Autom. 153: 111051 (2023) - [j16]Lida Huang, Thomas Westin, Mirjam Palosaari Eladhari, Sindri Magnússon, Hao Chen:
Eyes can draw: A high-fidelity free-eye drawing method with unimodal gaze control. Int. J. Hum. Comput. Stud. 170: 102966 (2023) - [j15]Thomas Ohlson Timoudas, Silun Zhang, Sindri Magnússon, Carlo Fischione:
A General Framework to Distribute Iterative Algorithms With Localized Information Over Networks. IEEE Trans. Autom. Control. 68(12): 7358-7373 (2023) - [j14]Dominik Fay, Sindri Magnússon, Jens Sjölund, Mikael Johansson:
Adaptive Hyperparameter Selection for Differentially Private Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023) - [j13]Sarit Khirirat, Xiaoyu Wang, Sindri Magnússon, Mikael Johansson:
Improved Step-Size Schedules for Proximal Noisy Gradient Methods. IEEE Trans. Signal Process. 71: 189-201 (2023) - [c31]Lida Huang, Mirjam Palosaari Eladhari, Sindri Magnússon, Hao Chen, Ruijie Guo:
Improving and Analyzing Sketchy High-Fidelity Free-Eye Drawing. Conference on Designing Interactive Systems 2023: 856-870 - [c30]Ali Beikmohammadi, Sindri Magnússon:
Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. AGI 2023: 21-31 - [c29]Ali Beikmohammadi, Sindri Magnússon:
TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning. AAMAS 2023: 2412-2414 - [c28]Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson:
Delay-Agnostic Asynchronous Distributed Optimization. CDC 2023: 1082-1087 - [c27]Shubham Vaishnav, Maria Efthymiou, Sindri Magnússon:
Energy-Efficient and Adaptive Gradient Sparsification for Federated Learning. ICC 2023: 1256-1261 - [c26]Shubham Vaishnav, Sindri Magnússon:
Intelligent Processing of Data Streams on the Edge Using Reinforcement Learning. ICC Workshops 2023: 1265-1270 - [c25]Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson:
Delay-agnostic Asynchronous Coordinate Update Algorithm. ICML 2023: 37582-37606 - [c24]Kaiji Sun, Sindri Magnússon, Olof Steinert, Tony Lindgren:
Robust Contrastive Learning and Multi-shot Voting for High-dimensional Multivariate Data-driven Prognostics. ICPHM 2023: 53-60 - [c23]Zahra Kharazian, Mahmoud Rahat, Fábio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnússon:
AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning. IDA 2023: 195-207 - [i13]Ali Beikmohammadi, Sindri Magnússon:
Human-Inspired Framework to Accelerate Reinforcement Learning. CoRR abs/2303.08115 (2023) - [i12]Ali Beikmohammadi, Sindri Magnússon:
Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. CoRR abs/2304.03291 (2023) - [i11]Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson:
Asynchronous Distributed Optimization with Delay-free Parameters. CoRR abs/2312.06508 (2023) - 2022
- [j12]Nancy Victor, Rajeswari Chengoden, Mamoun Alazab, Sweta Bhattacharya, Sindri Magnússon, Praveen Kumar Reddy Maddikunta, Kadiyala Ramana, Thippa Reddy Gadekallu:
Federated Learning for IoUT: Concepts, Applications, Challenges and Future Directions. IEEE Internet Things Mag. 5(4): 36-41 (2022) - [c22]Maria Bampa, Tobias Fasth, Sindri Magnússon, Panagiotis Papapetrou:
EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning. AIME 2022: 189-199 - [c21]Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson:
Optimal convergence rates of totally asynchronous optimization. CDC 2022: 6484-6490 - [c20]Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén:
Policy Evaluation with Delayed, Aggregated Anonymous Feedback. DS 2022: 114-123 - [c19]Ludvig Lindström, Sebin Gracy, Sindri Magnússon, Henrik Sandberg:
Leakage Localization in Water Distribution Networks: A Model-Based Approach. ECC 2022: 1515-1520 - [c18]Lida Huang, Mirjam Palosaari Eladhari, Sindri Magnússon, Thomas Westin, Nanxu Su:
Interactive Painting Volumetric Cloud Scenes with Simple Sketches Based on Deep Learning. HSI 2022: 1-6 - [c17]Sarit Khirirat, Sindri Magnússon, Mikael Johansson:
Eco-Fedsplit: Federated Learning with Error-Compensated Compression. ICASSP 2022: 5952-5956 - [c16]Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson:
Delay-Adaptive Step-sizes for Asynchronous Learning. ICML 2022: 24093-24113 - [i10]Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson:
Delay-adaptive step-sizes for asynchronous learning. CoRR abs/2202.08550 (2022) - [i9]Ludvig Lindström, Sebin Gracy, Sindri Magnússon, Henrik Sandberg:
Leakage Localization in Water Distribution Networks: A Model-Based Approach. CoRR abs/2204.00050 (2022) - [i8]Nancy Victor, Rajeswari, Mamoun Alazab, Sweta Bhattacharya, Sindri Magnússon, Praveen Kumar Reddy Maddikunta, Kadiyala Ramana, Thippa Reddy Gadekallu:
Federated Learning for IoUT: Concepts, Applications, Challenges and Opportunities. CoRR abs/2207.13976 (2022) - 2021
- [j11]Erik Berglund, Sindri Magnússon, Mikael Johansson:
Distributed Newton Method Over Graphs: Can Sharing of Second-Order Information Eliminate the Condition Number Dependence? IEEE Signal Process. Lett. 28: 1180-1184 (2021) - [j10]Sarit Khirirat, Sindri Magnússon, Mikael Johansson:
Compressed Gradient Methods With Hessian-Aided Error Compensation. IEEE Trans. Signal Process. 69: 998-1011 (2021) - [c15]Sarit Khirirat, Sindri Magnússon, Arda Aytekin, Mikael Johansson:
A Flexible Framework for Communication-Efficient Machine Learning. AAAI 2021: 8101-8109 - [c14]Xuyang Wu, Sindri Magnússon, Mikael Johansson:
A New Family of Feasible Methods for Distributed Resource Allocation. CDC 2021: 3355-3360 - [c13]Sarit Khirirat, Xiaoyu Wang, Sindri Magnússon, Mikael Johansson:
Improved Step-Size Schedules for Noisy Gradient Methods. ICASSP 2021: 3655-3659 - [c12]Xiaoyu Wang, Sindri Magnússon, Mikael Johansson:
On the Convergence of Step Decay Step-Size for Stochastic Optimization. NeurIPS 2021: 14226-14238 - [i7]Xiaoyu Wang, Sindri Magnússon, Mikael Johansson:
On the Convergence of Step Decay Step-Size for Stochastic Optimization. CoRR abs/2102.09393 (2021) - 2020
- [j9]Rong Du, Sindri Magnússon, Carlo Fischione:
The Internet of Things as a Deep Neural Network. IEEE Commun. Mag. 58(9): 20-25 (2020) - [j8]Sindri Magnússon, Guannan Qu, Na Li:
Distributed Optimal Voltage Control With Asynchronous and Delayed Communication. IEEE Trans. Smart Grid 11(4): 3469-3482 (2020) - [j7]Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li:
On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication. IEEE Trans. Signal Process. 68: 6101-6116 (2020) - [i6]Hossein Shokri Ghadikolaei, Sindri Magnússon:
Communication-efficient Variance-reduced Stochastic Gradient Descent. CoRR abs/2003.04686 (2020) - [i5]Rong Du, Sindri Magnússon, Carlo Fischione:
The Internet of Things as a Deep Neural Network. CoRR abs/2003.10538 (2020)
2010 – 2019
- 2019
- [j6]Sindri Magnússon, Guannan Qu, Carlo Fischione, Na Li:
Voltage Control Using Limited Communication. IEEE Trans. Control. Netw. Syst. 6(3): 993-1003 (2019) - [c11]Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li:
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication. ACSSC 2019: 432-436 - [c10]Sindri Magnússon, Guannan Qu, Na Li:
Distributed Voltage Control with Communication Delays. ACC 2019: 3895-3900 - [c9]Sindri Magnússon, Carlo Fischione, Na Li:
Optimal Voltage Control Using Event Triggered Communication. e-Energy 2019: 343-354 - [c8]Sarit Khirirat, Sindri Magnússon, Mikael Johansson:
Convergence Bounds for Compressed Gradient Methods with Memory Based Error Compensation. ICASSP 2019: 2857-2861 - [i4]Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li:
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication. CoRR abs/1902.11163 (2019) - [i3]Sindri Magnússon, Guannan Qu, Na Li:
Distributed Voltage Control with Communication Delays. CoRR abs/1903.01065 (2019) - 2018
- [j5]Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh:
Communication Complexity of Dual Decomposition Methods for Distributed Resource Allocation Optimization. IEEE J. Sel. Top. Signal Process. 12(4): 717-732 (2018) - [j4]Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh:
Convergence of Limited Communication Gradient Methods. IEEE Trans. Autom. Control. 63(5): 1356-1371 (2018) - 2017
- [b1]Sindri Magnússon:
Bandwidth Limited Distributed Optimization with Applications to Networked Cyberphysical Systems. Royal Institute of Technology, Stockholm, Sweden, 2017 - 2016
- [j3]Martin Jakobsson, Sindri Magnússon, Carlo Fischione, Pradeep Chathuranga Weeraddana:
Extensions of Fast-Lipschitz Optimization. IEEE Trans. Autom. Control. 61(4): 861-876 (2016) - [j2]Sindri Magnússon, Pradeep Chathuranga Weeraddana, Michael G. Rabbat, Carlo Fischione:
On the Convergence of Alternating Direction Lagrangian Methods for Nonconvex Structured Optimization Problems. IEEE Trans. Control. Netw. Syst. 3(3): 296-309 (2016) - [c7]Sindri Magnússon, Kathryn Heal, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh:
Convergence of limited communications gradient methods. ACC 2016: 1421-1426 - [c6]Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione:
Practical coding schemes for bandwidth limited one-way communication resource allocation. CDC 2016: 221-226 - [c5]Sindri Magnússon, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh:
Distributed resource allocation using one-way communication with applications to power networks. CISS 2016: 631-636 - [c4]Sindri Magnússon, Martin Jakobsson, Carlo Fischione, Pradeep Chathuranga Weeraddana:
On some extensions of Fast-Lipschitz optimization. ECC 2016: 172-177 - [c3]Sindri Magnússon, Pradeep Chathuranga Weeraddana, Carlo Fischione:
A distributed approach for the optimal power flow problem. ECC 2016: 1940-1945 - [c2]Chinwendu Enyioha, Sindri Magnússon, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh:
Robustness analysis for an online decentralized descent power allocation algorithm. ITA 2016: 1-8 - [i2]Sindri Magnússon, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh:
Distributed Resource Allocation Using One-Way Communication with Applications to Power Networks. CoRR abs/1601.07090 (2016) - [i1]Chinwendu Enyioha, Sindri Magnússon, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh:
Robustness Analysis for an Online Decentralized Descent Power allocation algorithm. CoRR abs/1601.07097 (2016) - 2015
- [j1]Sindri Magnússon, Pradeep Chathuranga Weeraddana, Carlo Fischione:
A Distributed Approach for the Optimal Power-Flow Problem Based on ADMM and Sequential Convex Approximations. IEEE Trans. Control. Netw. Syst. 2(3): 238-253 (2015) - 2014
- [c1]Sindri Magnússon, P. C. Weeraddana, Michael G. Rabbat, Carlo Fischione:
On the convergence of an alternating direction penalty method for nonconvex problems. ACSSC 2014: 793-797
Coauthor Index
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