Publications
Journal Articles
Adaptive Hyperparameter Selection for Differentially Private Gradient Descent
D. Fay, S. Magnússon, J. Sjölund, and M. Johansson
Transactions on Machine Learning Research, 2023
Link to paper: https://openreview.net/pdf?id=LLKI5Lq2YN
General Framework to Distribute Iterative Algorithms with Localized Information over Networks
T. Timoudas, Z. Zhang, S. Magnússon, and C. Fischione
IEEE Transactions on Automatic Control, accepted to appear, 2023
Distributed Safe Resource Allocation using Barrier Functions
X. Wu, S. Magnússon, and M. Johansson
Elsevier Automatica, accepted to appear, 2023
Improved Step-Size Schedules for Proximal Noisy Gradient Methods
S. Khirirat, X. Wang, S. Magnússon, and M. Johansson
IEEE Transactions on Signal Processing, accepted to appear, 2023
Eyes can draw: A high-fidelity free-eye drawing method with unimodal gaze control
L. Huang, T. Westin, M. Eladhari, S. Magnússon, H. Chen
International Journal of Human-Computer Studies, vol. 170, February 2023.
Distributed Newton Method Over Graphs: Can Sharing of Second-order Information Eliminate the Condition Number Dependence?
E. Berglund, S. Magnússon, and M. Johansson
IEEE Signal Processing Letters, vol. 28, May 2021
Compressed Gradient Methods with Hessian-Aided Error Compensation
S. Khirirat, S. Magnússon, and M. Johansson
IEEE Transactions on Signal Processing, vol. 69, 2021
S. Magnússon, H. Shokri-Ghadikolaei, and N. Li
IEEE Transactions on Signal Processing, vol 68, 2020
The Internet of Things as a Deep Neural Network
R. Du, S. Magnússon, and C. Fischione
IEEE Communications Magazine, Internet of Things and Sensor Networks Series, vol. 58, no. 9, September 2020
Distributed Optimal Voltage Control with Asynchronous and Delayed Communication
S. Magnússon, G. Qu, and N. Li
IEEE Transactions on Smart Grid, vol. 11, no. 4, July 2020
Voltage Control Using Limited Communication
S. Magnússon, G. Qu, C. Fischione, and N. Li
IEEE Transactions on Control of Network Systems, Special Issue on Analysis, Control and Optimization of Energy System Networks, vol. 6 , no. 3, Sept. 2019
S. Magnússon, C. Enyioha, N. Li, C. Fischione, and V. Tarokh
IEEE Journal of Selected Topics in Signal Processing, Special Issue on Signal and Information Processing for Critical
Infrastructures vol. 12, no. 4 , August 2018.
Convergence of Limited Communications Gradient Methods
S. Magnússon, C. Enyioha, N. Li, C. Fischione, and V. Tarokh
IEEE Transactions on Automatic Control vol. 63, no 5, May 2018.
On Variability of Renewable Energy and Online Power Allocation
C. Enyioha, S. Magnússon, N. Li, C. Fischione, and V. Tarokh
IEEE Transactions on Power Systems, vol. 33, no. 1, January 2018.
Extensions of Fast-Lipschitz Optimization
M. Jakobsson, S. Magnússon, C. Fischione, and P. C. Weeraddana,
IEEE Transactions on Automatic Control vol. 63, no 4, 2016.
S. Magnússon, P. C. Weeraddana, M. G. Rabbat, and C. Fischione
IEEE Transactions on Control of Network Systems, vol. 3, no. 3, pp. 296-309, September 2016.
S. Magnússon, P. C. Weeraddana, and C. Fischione
IEEE Transactions on Control of Network Systems, vol. 3, no. 3, pp. 296-309, September 2016.
Velocities in the plume of the 2010 Eyjafjallajökull eruption
H. Bjornsson, S. Magnússon, P. Arason, and G. N. Petersen
Journal of Geophysical Research: Atmospheres, vol. 118 , no. 20, pp. 11,698-11,711, October 2013.
Conference Articles
Delay-agnostic Asynchronous Coordinate Update Algorithm
X. Wu, C. Liu, S. Magnússon, M. Johansson
International Conference on Machine Learning (ICML), Honolulu, HI, 2023
Comparing NARS and Reinforcement Learning: An Analysis of ONA and Learning Algorithms
A. Beikmohammadi and S. Magnússon
The 16th Annual AGI Conference, Stockholm, Sweden, 2023
TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning
A. Beikmohammadi and S. Magnússon
The 22nd International Conference on Autonomous Agents and Multiagent Systems, London, UK, 2023
Energy-Efficient and Adaptive Gradient Sparsification for Federated Learning
S. Vaishnav and S. Magnússon
IEEE International Conference on Communications (ICC), Rome, Italy, 2023
Intelligent Processing of Data Streams on the Edge Using Reinforcement Learning
S. Vaishnav and S. Magnússon
IEEE ICC 2023 Workshop on Scalable and Trustworthy AI for 6G Wireless Networks (6GSTRAIN), 2023
Revisiting the Curvature-aided IAG: Improved Theory and Reduced Complexity
E. Berglund, S. Khirirat, X. Wu, S. Magnússon, M. Johansson
IFAC World Congress, Yokohama, Japan, 2023
Tale of Contrastive Learning Transmutes High-dimensional Multivariate Data-driven Prognostics
K. Sun, S Magnússon, T. Lindgren and O. Steinert
IEEE Conference on Prognostics and Health Management, 2023
AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, A Framework based on Active Learning and Transfer Learning
Z. Kharazian, M. Rahat, F. Gama, P. Mashhadi, S. Nowaczyk, T. Lindgren and S. Magnússon
Symposium on Intelligent Data Analysis (IDA 2023), 2023
Multi-Agent Deep Reinforcement Learning for Decentralized Voltage-Var Control in Distribution Power System
M, Zhang, Q. Xu, S Magnússon, R. Pilawa-Podgurski and G. Guo
IEEE Energy Conversion Congress and Exposition, 2022
Policy Evaluation for Cumulative and Periodic Rewards
G. Dinis Junior, S. Magnússon and J. Hollmén
International Conference on Discovery Science, Montpellier, France, 2022
Optimal convergence rates of totally asynchronous optimization
X. Wu, S. Magnússon, H. Reza Feyzmahdavian, M. Johansson
61th IEEE Conference on Decision and Control (CDC), 2022
Interactive Painting Volumetric Cloud Scenes with Simple Sketches Based on Deep Learning
L. Huang, M. P. Eladhari, S. Magnússon, T. Westin, N. Su
15th IEEE International conference on Human System Interaction, Melbourne, Australia, 2022
Delay-adaptive step-sizes for asynchronous learning
X. Wu, S. Magnússon, H. Reza Feyzmahdavian, M. Johansson
International Conference on Machine Learning (ICML), Baltimore, MD, 2022
EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning
M. Bampa, T. Fasth, S. Magnússon, and Panagiotis Papapetrou
20th International Conference on Artificial Intelligence in Medicine (AIME 2022), Halifax, Canada, 2022
Leakage Localization in Water Distribution Networks: A Model-Based Approach
L. Lindström, S. Gracy, S. Magnússon, and H. Sandberg
IEEE European Control Conference (ECC), London, UK, 2022
Eco-FedSplit: Federated Learning with Error-Compensated Compression
S. Khirirat, S. Magnússon, M. Johansson
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2022
On the Convergence of Step Decay Step-Size for Stochastic Optimization
X. Wang, S. Magnússon, and M. Johansson
Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 2021
A New Family of Feasible Methods for Distributed Resource Allocation
X. Wu, S. Magnússon, and M. Johansson
60th IEEE Conference on Decision and Control (CDC), 2021
Improved Step-Size Schedules for Noisy Gradient Methods
S. Khirirat, X. Wang, S. Magnússon, M. Johansson
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2021
A flexible framework for communication-efficient machine learning
S. Khirirat, S. Magnússon, A. Aytekin, and M. Johansson
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)
Communication-Efficient Variance-Reduced Stochastic Gradient Descent
H. Shokri-Ghadikolaei and S. Magnússon
IFAC 2020 World Congress, Berlin, Germany 2020.
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication
S. Magnússon, H. Shokri-Ghadikolaei, and N. Li
2019 53rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA
Distributed Optimal Voltage Control with Delayed Communication
S. Magnússon, G. Qu, and N. Li
2019 IEEE American Control Conference (ACC), Philadelphia, PA, 2019
Optimal Voltage Control Using Event Triggered Communication
S. Magnússon, C. Fischione, and N. Li
ACM e-Energy'19 conference, Phoenix, AR, 2019
Convergence Bounds For Compressed Gradient Methods With Memory Based Error Compensation
S. Khirirat, S. Magnússon, and M. Johansson
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, 2019
Best student paper award: https://2019.ieeeicassp.org/program#awards
Voltage Control Using Limited Communication
S. Magnússon, C. Fischione, and N. Li
IFAC 2017 World Congress, Toulouse, France, 2017, pp. 1-6.
Practical Coding Schemes For Bandwidth Limited One-Way Communication Resource Allocation
S. Magnússon, C. Enyioha, C. Fischione, and N. Li
56th IEEE Conference on Decision and Control (CDC), Las Vegas, NV, 2016, pp. 221-226.
Convergence of Limited Communications Gradient Method
S. Magnússon, C. Enyioha, N. Li, C. Fischione, V. Tarokh
IEEE American Control Conference (ACC), Boston, MA, 2016, pp. 1421-1426.
On Some Extensions of Fast-Lipschitz Optimization
S. Magnússon, M. Jakobsson, C. Fischione, and P. C. Weeraddana
IEEE European Control Conference (ECC), Aalborg, Denmark, 2016, pp. 172-177.
A Distributed Approach for the Optimal Power Flow Problem
S. Magnússon, C. Fischione, and P. C. Weeraddana
IEEE European Control Conference (ECC), Aalborg, Denmark, 2016, pp. 1940- 1945.
Distributed Resource Allocation Using One-Way Communication with Applications to Power Networks
S. Magnússon, C. Enyioha, K. Heal, N. Li, C. Fischione, and V. Tarokh
IEEE 50th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, 2016, pp. 631-636.
Analysis for an Online DecentralizedDescent Power allocation algorithm
C. Enyioha, S. Magnússon, K. Heal, and N. Li and C. Fischione and V. Tarokh,
IEEE Information Theory and Applications Workshop (ITA), San Diego, CA, 2016.
On the Convergence of an Alternating Direction Penalty Method for Nonconvex Problems
S. Magnússon, P. C. Weeraddana, M. G. Rabbat, and C. Fischione,
IEEE 48th Asilomar Conference on Signals, Systems and Computers, Paci c Grove, CA, 2014, pp. 793-797