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20132023
most citedOn Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication

75 citations · 142 across the 21 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.LG2022★ 12 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…

eess.SY2022★ 2 cited

Leakage Localization in Water Distribution Networks: A Model-Based Approach

Ludvig Lindstrom, Sebin Gracy, Sindri Magnusson +1

The paper studies the problem of leakage localization in water distribution networks. For the case of a single pipe that suffers from a single leak, by taking recourse to pressure…

math.OC2022

Optimal convergence rates of totally asynchronous optimization

Xuyang Wu, Sindri Magnusson, Hamid Reza Feyzmahdavian +1

Asynchronous optimization algorithms are at the core of modern machine learning and resource allocation systems. However, most convergence results consider bounded information dela…

cs.LG2022★ 1 cited

Delay-adaptive step-sizes for asynchronous learning

Xuyang Wu, Sindri Magnusson, Hamid Reza Feyzmahdavian +1

In scalable machine learning systems, model training is often parallelized over multiple nodes that run without tight synchronization. Most analysis results for the related asynchr…