Centre for Networked Intelligence

Dear All, Networks Seminar, supported by the Centre for Networked Intelligence, is a technical discussion forum in topics including but not limited to computer networks, machine learning, signal processing, and information theory. The seminar series has a webpage hosted at https://cni.iisc.ac.in/seminars/. You are invited to the following seminar held as part of this series. Title: Consensus in the Weighted Voter Model with Noise-free and Noisy Observations Speaker: Prof. Ayalvadi Ganesh, Professor, University of Bristol Time: 4:00 PM - 5:00 PM (IST) Date: 04 May 2026 Venue: GJ Hall and Online on Zoom Tea/Coffee: 5:00 PM Zoom link: https://us06web.zoom.us/j/83388976389?pwd=XcpO3GhLxsR14a7SVbPx33HQQa1jbt.1 Zoom Meeting ID: 833 8897 6389, Pass Code: NSSIISc YouTube Livestream: https://www.youtube.com/watch?v=8PNY-r4xyj0 Webpage Link: https://cni.iisc.ac.in/seminars/2026-05-04/ <https://cni.iisc.ac.in/seminars/2026-05-04/> Abstract: Collective decision-making is an important problem in swarm robotics arising in many different contexts and applications. The Weighted Voter Model has been proposed to collectively solve the best-of-n problem and analysed in the thermodynamic limit. We present an exact finite-population analysis of the best-of-two model on complete as well as regular network topologies. We also present a novel analysis of this model when agent evaluations of options suffer from measurement error. Bio: Ayalvadi Ganesh is a Professor of Applied Probability at the School of Mathematics, University of Bristol. His research interests include large deviations, queueing theory, random graph dynamics, and decentralised algorithms. He won the INFORMS Best Publication Award in 2005 and the ACM Sigmetrics Best Paper Prize in 2010. More Details: https://people.maths.bris.ac.uk/~maajg/ ALL ARE WELCOME. Thank you, CNI Seminar Series Organizing Committee.