Therefore, distributed systems algorithms have to deal with uncertainty, unpredictability, and partial failures, and often use probabilistic or approximate methods to achieve their goals.

Distributed algorithms are algorithms that run on multiple machines or processors that communicate with each other, such as in cloud computing, peer-to-peer networks, or blockchain systems.

Additionally, novel distributed discrete-time algorithms have been developed for convex optimisation over directed networks by incorporating momentum terms and gradient tracking techniques ...

We propose a distributed joint localization and tracking algorithm using a message passing framework, for multiple-input multiple-output radars. We employ the mean field approach to derive an ...

Prof. Golab has been busy working on a monograph with Sahil Dhoked and Neeraj Mittal. You can download the book from SpringerLink or purchase it from Barnes & Noble.

Jayash Koshal, Angelia Nedić, Uday V. Shanbhag, Distributed Algorithms for Aggregative Games on Graphs, Operations Research, Vol. 64, No. 3, Special Issue on Information and Decisions in Social and ...

This paper presents a distributed algorithm for ensuring the strong connectivity of spatially distributed networks where the communication network topology depends on both the position and ...

In (Kaijun et al., 2015; Mengyou et al., 2015), the distributed feeder automation algorithms are designed for specific feeder topological structure and the location of tie-switch. The design of ...