Efficient information dissemination is one of the challenging tasks in most ad-hoc network
application domains, be it in wireless sensor networks, mobile ad-hoc networks, or vehicular …

Many recently proposed sensornet applications require large number of sensor nodes
operating over long periods of time. In contrast to the first-generation sensornet …

This paper presents a rigorous analytic study of gossip-based message dissemination
schemes that can be employed for content/service dissemination or discovery in …

We propose and evaluate a model for controlling infection patterns defined over rounds or
real time in a gossip-based protocol using adaptive fanout. We model three versions of …

This dissertation is based on my work related to gossip protocols that solve various
problems in massively distributed large scale networks. Resisting the temptation to present …

The emergence of large-scale distributed applications based on many-to-many
communication models, eg, broadcast and decentralized group communication, has an …

Federated learning is a distributed machine learning approach for computing models over
data collected by edge devices. Most importantly, the data itself is not collected centrally, but …

Unlike the telephone network or the Internet, many of the next generation networks are not
engineered for the purpose of providing efficient communication between various networked …

This paper introduces and analyzes a variant of distributed gossip which is motivated by the
sharing of recommendations in a social network. The social settings bear two implications …

Gossip-based information dissemination protocols are considered easy to deploy, scalable
and resilient to network dynamics. Load-balancing is inherent in these protocols as the …