no code implementations • 20 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.
1 code implementation • 13 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