Search Results for author: Matteo Monti

Found 2 papers, 1 papers with code

Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search

no code implementations20 Apr 2023 Andrei Kucharavy, Matteo Monti, Rachid Guerraoui, Ljiljana Dolamic

We then leverage this definition to show that a general class of gradient-free ML algorithms - ($1,\lambda$)-Evolutionary Search - can be combined with classical distributed consensus algorithms to generate gradient-free byzantine-resilient distributed learning algorithms.

The Consensus Number of a Cryptocurrency (Extended Version)

1 code implementation13 Jun 2019 Rachid Guerraoui, Petr Kuznetsov, Matteo Monti, Matej Pavlovic, Dragos-Adrian Seredinschi

As stated in the original paper by Nakamoto, at the heart of these systems lies the problem of preventing double-spending; this is usually solved by achieving consensus on the order of transfers among the participants.

Distributed, Parallel, and Cluster Computing

Cannot find the paper you are looking for? You can Submit a new open access paper.