2 papers
cs.DC2026
Stream Learning: Partition-Fair Gossip Learning Without Tokens
Fabien Mathieu, Alexandre Pham, Maria Gradinariu Potop-Butucaru +1
In gossip learning, a network of nodes trains a shared model collaboratively, without a central coordinator, by repeatedly exchanging parts of their local models. The state-of-the-…
cs.DC2021
Voting-based probabilistic consensuses and their applications in distributed ledgers
Serguei Popov, Sebastian Müller
We review probabilistic models known as majority dynamics (also known as threshold Voter Models) and discuss their possible applications for achieving consensus in cryptocurrency s…