While the use of distributed computing in search and optimization problems has a long
research history, most efforts have been devoted to parallel implementations with strict …

Gossip, or epidemic, protocols have emerged as a powerful strategy to implement highly
scalable and resilient reliable broadcast primitives. Due to scalability reasons, each …

Decentralized machine learning provides a unique opportunity to create data-driven
applications without the need for large investments in centralized infrastructure. In our …

We consider a gossip network, consisting of n nodes, which tracks the information at a
source. The source updates its information with a Poisson arrival process and also sends …

Real life networks are generally modelled as scale free networks. Information diffusion in
such networks in decentralised environment is a difficult and resource consuming affair …

Gossip-based protocols are commonly used for diffusing information in large-scale
distributed applications. GO (Gossip Objects) is a per-node gossip platform that we …

Effective data propagation between nodes is crucial factor in distributed systems. Reactive
notifications allow responding quickly to various system events: failures, topology changes …

The growth of the Internet raises new challenges for the design of distributed systems and
applications. In the context of group communication protocols, gossip-based schemes have …

Gossip protocols have emerged as a powerful technique for implementing highly scalable
and robust services, such as information dissemination and aggregation. The fact that …

Resource discovery is the process of locating shared resources on a computer network.
Previously studied examples include efficiently finding files with a given title on a file sharing …