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20112026
most citedThe Hidden Vulnerability of Distributed Learning in Byzantium

555 citations · 1k across the 61 of their papers we have counts for

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Showing 2017Show all

7 papers · 1 filter

cs.IR2017★ 4 cited

Sequences, Items And Latent Links: Recommendation With Consumed Item Packs

Rachid Guerraoui, Erwan Le Merrer, Rhicheek Patra +1

Recommenders personalize the web content by typically using collaborative filtering to relate users (or items) based on explicit feedback, e.g., ratings. The difficulty of collecti…

cs.DC2017

Monotonic Prefix Consistency in Distributed Systems

Alain Girault, Gregor Gössler, Rachid Guerraoui +2

We study the issue of data consistency in distributed systems. Specifically, we consider a distributed system that replicates its data at multiple sites, which is prone to partitio…

stat.ML2017

On The Robustness of a Neural Network

El Mahdi El Mhamdi, Rachid Guerraoui, Sebastien Rouault

With the development of neural networks based machine learning and their usage in mission critical applications, voices are rising against the \textit{black box} aspect of neural n…

stat.ML2017★ 34 cited

When Neurons Fail

El Mahdi El Mhamdi, Rachid Guerraoui

We view a neural network as a distributed system of which neurons can fail independently, and we evaluate its robustness in the absence of any (recovery) learning phase. We give ti…

cs.AI2017★ 18 cited

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning

El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx +1

In reinforcement learning, agents learn by performing actions and observing their outcomes. Sometimes, it is desirable for a human operator to \textit{interrupt} an agent in order…

cs.LG2017★ 55 cited

Personalized and Private Peer-to-Peer Machine Learning

Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki +1

The rise of connected personal devices together with privacy concerns call for machine learning algorithms capable of leveraging the data of a large number of agents to learn perso…