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Rachid Guerraoui

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Rachid Guerraoui

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Byzantine Machine Learning: A Primer

Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats

DIABLO: A Benchmark Suite for Blockchains

As easy as ABC: Optimal (A)ccountable (B)yzantine (C)onsensus is easy!

Epidemic Learning: Boosting Decentralized Learning with Randomized Communication

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity

PePTM: An Efficient and Accurate Personalized P2P Learning Algorithm for Home Thermal Modeling

Byzantine consensus is Θ(n^2): the Dolev-Reischuk bound is tight even in partial synchrony!

On the Validity of Consensus

Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models