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

7 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2023

Delay-agnostic Asynchronous Coordinate Update Algorithm

Xuyang Wu, Changxin Liu, Sindri Magnusson +1

We propose a delay-agnostic asynchronous coordinate update algorithm (DEGAS) for computing operator fixed points, with applications to asynchronous optimization. DEGAS includes nov…

cs.LG20231 cited

Comparing NARS and Reinforcement Learning: An Analysis of ONA and -Learning Algorithms

Ali Beikmohammadi, Sindri Magnússon

In recent years, reinforcement learning (RL) has emerged as a popular approach for solving sequence-based tasks in machine learning. However, finding suitable alternatives to RL re…

cs.LG202212 cited

Federated Learning for IoUT: Concepts, Applications, Challenges and Opportunities

Nancy Victor, Rajeswari. C, Mamoun Alazab +5

Internet of Underwater Things (IoUT) have gained rapid momentum over the past decade with applications spanning from environmental monitoring and exploration, defence applications,…

math.OC2022

Distributed Safe Resource Allocation using Barrier Functions

Xuyang Wu, Sindri Magnusson, Mikael Johansson

Resource allocation plays a central role in many networked systems such as smart grids, communication networks and urban transportation systems. In these systems, many constraints…

math.OC20147 cited

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

Sindri Magnússon, Pradeep Chathuranga Weeraddana, Michael G. Rabbat +1

Nonconvex and structured optimization problems arise in many engineering applications that demand scalable and distributed solution methods. The study of the convergence properties…