Rachid Guerraoui

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EPFL

Professor of Computer and Communication Systems at École polytechnique fédérale de Lausanne (EPFL)

Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?

This paper addresses the problem of combining Byzantine resilience with ...
02/16/2021 ∙ by Rachid Guerraoui, et al. ∙ 0 ∙ share

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Microsecond Consensus for Microsecond Applications

We consider the problem of making apps fault-tolerant through replicatio...
10/13/2020 ∙ by Marcos K. Aguilera, et al. ∙ 0 ∙ share

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Garfield: System Support for Byzantine Machine Learning

Byzantine Machine Learning (ML) systems are nowadays vulnerable for they...
10/12/2020 ∙ by El Mahdi El Mhamdi, et al. ∙ 0 ∙ share

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Efficient Multi-word Compare and Swap

Atomic lock-free multi-word compare-and-swap (MCAS) is a powerful tool f...
08/06/2020 ∙ by Rachid Guerraoui, et al. ∙ 0 ∙ share

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Collaborative Learning as an Agreement Problem

We address the problem of Byzantine collaborative learning: a set of n n...
08/03/2020 ∙ by El Mahdi El Mhamdi, et al. ∙ 3 ∙ share

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FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction

Federated Learning (FL) is very appealing for its privacy benefits: esse...
06/12/2020 ∙ by Georgios Damaskinos, et al. ∙ 0 ∙ share

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Differentially Private Stochastic Coordinate Descent

In this paper we tackle the challenge of making the stochastic coordinat...
06/12/2020 ∙ by Georgios Damaskinos, et al. ∙ 0 ∙ share

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Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training

Generative adversarial networks (GANs) are pairs of artificial neural ne...
05/22/2020 ∙ by Andrei Kucharavy, et al. ∙ 0 ∙ share

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Online Payments by Merely Broadcasting Messages (Extended Version)

We address the problem of online payments, where users can transfer fund...
04/27/2020 ∙ by Daniel Collins, et al. ∙ 0 ∙ share

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Distributed Momentum for Byzantine-resilient Learning

Momentum is a variant of gradient descent that has been proposed for its...
02/28/2020 ∙ by El Mahdi El Mhamdi, et al. ∙ 0 ∙ share

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Dynamic Byzantine Reliable Broadcast [Technical Report]

Reliable broadcast is a powerful primitive guaranteeing that, intuitivel...
01/17/2020 ∙ by Rachid Guerraoui, et al. ∙ 0 ∙ share

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Can 100 Machines Agree?

Agreement protocols have been typically deployed at small scale, e.g., u...
11/18/2019 ∙ by Rachid Guerraoui, et al. ∙ 0 ∙ share

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Fast Machine Learning with Byzantine Workers and Servers

Machine Learning (ML) solutions are nowadays distributed and are prone t...
11/18/2019 ∙ by El Mahdi El Mhamdi, et al. ∙ 0 ∙ share

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Scalable Byzantine Reliable Broadcast (Extended Version)

Byzantine reliable broadcast is a powerful primitive that allows a set o...
08/05/2019 ∙ by Rachid Guerraoui, et al. ∙ 0 ∙ share

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Gathering with extremely restricted visibility

We consider the classical problem of making mobile processes gather or c...
06/14/2019 ∙ by Rachid Guerraoui, et al. ∙ 0 ∙ share

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The Consensus Number of a Cryptocurrency (Extended Version)

Many blockchain-based algorithms, such as Bitcoin, implement a decentral...
06/13/2019 ∙ by Rachid Guerraoui, et al. ∙ 0 ∙ share

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The Impact of RDMA on Agreement

Remote Direct Memory Access (RDMA) is becoming widely available in data ...
05/29/2019 ∙ by Marcos K. Aguilera, et al. ∙ 0 ∙ share

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Fast and Secure Distributed Learning in High Dimension

Modern machine learning is distributed and the work of several machines ...
05/05/2019 ∙ by El Mahdi El Mhamdi, et al. ∙ 0 ∙ share

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SGD: Decentralized Byzantine Resilience

The size of the datasets available today leads to distribute Machine Lea...
05/05/2019 ∙ by El Mahdi El Mhamdi, et al. ∙ 0 ∙ share

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Distributed Transactional Systems Cannot Be Fast

We prove that no fully transactional system can provide fast read transa...
03/21/2019 ∙ by Diego Didona, et al. ∙ 0 ∙ share

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Who started this rumor? Quantifying the natural differential privacy guarantees of gossip protocols

Gossip protocols, also called rumor spreading or epidemic protocols, are...
02/19/2019 ∙ by Aurélien Bellet, et al. ∙ 0 ∙ share

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Fatal Brain Damage

The loss of a few neurons in a brain often does not result in a visible ...
02/05/2019 ∙ by El Mahdi El Mhamdi, et al. ∙ 0 ∙ share

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Removing Algorithmic Discrimination (With Minimal Individual Error)

We address the problem of correcting group discriminations within a scor...
06/07/2018 ∙ by El Mahdi El Mhamdi, et al. ∙ 0 ∙ share

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Virtuously Safe Reinforcement Learning

We show that when a third party, the adversary, steps into the two-party...
05/29/2018 ∙ by Henrik Aslund, et al. ∙ 0 ∙ share

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Distributed Transactions: Dissecting the Nightmare

Many distributed storage systems are transactional and a lot of work has...
03/16/2018 ∙ by Diego Didona, et al. ∙ 0 ∙ share

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Causal Consistency and Latency Optimality: Friend or Foe?

Causal consistency is an attractive consistency model for replicated dat...
03/12/2018 ∙ by Diego Didona, et al. ∙ 0 ∙ share

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Asynchronous Byzantine Machine Learning

Asynchronous distributed machine learning solutions have proven very eff...
02/22/2018 ∙ by Georgios Damaskinos, et al. ∙ 0 ∙ share

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The Hidden Vulnerability of Distributed Learning in Byzantium

While machine learning is going through an era of celebrated success, co...
02/22/2018 ∙ by El Mahdi El Mhamdi, et al. ∙ 0 ∙ share

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Learning to Gather without Communication

A standard belief on emerging collective behavior is that it emerges fro...
02/21/2018 ∙ by El Mahdi El Mhamdi, et al. ∙ 0 ∙ share

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Deep Learning Works in Practice. But Does it Work in Theory?

Deep learning relies on a very specific kind of neural networks: those s...
01/31/2018 ∙ by Lê Nguyên Hoang, et al. ∙ 0 ∙ share

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

Recommenders personalize the web content by typically using collaborativ...
11/16/2017 ∙ by Rachid Guerraoui, et al. ∙ 0 ∙ share

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Why You Can't Beat Blockchains: Consistency and High Availability in Distributed Systems

We study the issue of data consistency in highly-available distributed s...
10/25/2017 ∙ by Alain Girault, et al. ∙ 0 ∙ share

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On The Robustness of a Neural Network

With the development of neural networks based machine learning and their...
07/25/2017 ∙ by El Mahdi El Mhamdi, et al. ∙ 0 ∙ share

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When Neurons Fail

We view a neural network as a distributed system of which neurons can fa...
06/27/2017 ∙ by El Mahdi El Mhamdi, et al. ∙ 0 ∙ share

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Fast and Differentially Private Algorithms for Decentralized Collaborative Machine Learning

Consider a set of agents in a peer-to-peer communication network, where ...
05/23/2017 ∙ by Aurélien Bellet, et al. ∙ 0 ∙ share

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Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning

In reinforcement learning, agents learn by performing actions and observ...
04/10/2017 ∙ by El Mahdi El Mhamdi, et al. ∙ 0 ∙ share

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Byzantine-Tolerant Machine Learning

The growth of data, the need for scalability and the complexity of model...
03/08/2017 ∙ by Peva Blanchard, et al. ∙ 0 ∙ share

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Rachid Guerraoui

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