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

On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication

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 

Communication Complexity of Dual Decomposition Methods for Distributed Resource Allocation Optimization

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.

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

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.

A Distributed Approach for the Optimal Power Flow Problem Based on ADMM and Sequential Convex Approximations

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