Publications related to Byzantine Iconoclasm

The Performance of Byzantine Fault Tolerant Blockchains

Blockchains have captured the attention of many, resulting in an abundance of new systems available for use. However, selecting an appropriate blockchain for an application is challenging due to the lack of comparative information discussing core metrics s ...

IEEE2020

Private and Secure Distributed Learning

Georgios Damaskinos

The ever-growing number of edge devices (e.g., smartphones) and the exploding volume of sensitive data they produce, call for distributed machine learning techniques that are privacy-preserving. Given the increasing computing capabilities of modern edge de ...

EPFL2020

AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation

Rachid Guerraoui, El Mahdi El Mhamdi, Sébastien Louis Alexandre Rouault, Georgios Damaskinos, Arsany Hany Abdelmessih Guirguis

We present AGGREGATHOR, a framework that implements state-of-the-art robust (Byzantine-resilient) distributed stochastic gradient descent. Following the standard parameter server model, we assume that a minority of worker machines can be controlled by an a ...

2019

Scalable Byzantine Reliable Broadcast

Rachid Guerraoui, Dragos-Adrian Seredinschi, Matej Pavlovic, Matteo Monti

Byzantine reliable broadcast is a powerful primitive that allows a set of processes to agree on a message from a designated sender, even if some processes (including the sender) are Byzantine. Existing broadcast protocols for this setting scale poorly, as ...

Schloss Dagstuhl--Leibniz-Zentrum fer Informatik2019

Threshold Logical Clocks for Asynchronous Distributed Coordination and Consensus

Bryan Alexander Ford

Consensus protocols for asynchronous networks are usually complex and inefficient, leading practical systems to rely on synchronous protocols. This paper attempts to simplify asynchronous consensus by building atop a novel threshold logical clock abstracti ...

2019

The Impact of RDMA on Agreement

Rachid Guerraoui, Mihail Igor Zablotchi, Naama Ben David

Remote Direct Memory Access (RDMA) is becoming widely available in data centers. This technology allows a process to directly read and write the memory of a remote host, with a mechanism to control access permissions. In this paper, we study the fundamenta ...

2019

Scaling Byzantine Fault Tolerance

Matej Pavlovic

Online services are becoming more and more ubiquitous and keep growing in scale. At the same time, they are required to be highly available, secure, energy-efficient, and to achieve high performance. To ensure these (and many other) properties, replication ...

EPFL2019

Asynchronous Byzantine Machine Learning (the case of SGD)

Rachid Guerraoui, Mahsa Taziki, El Mahdi El Mhamdi, Rhicheek Patra, Georgios Damaskinos

Asynchronous distributed machine learning solutions have proven very effective so far, but always assuming perfectly functioning workers. In practice, some of the workers can however exhibit Byzantine behavior, caused by hardware failures, software bugs, c ...

2018

Beyond One Third Byzantine Failures

Rachid Guerraoui, Anne-Marie Kermarrec, Cheng Wang

The Byzantine agreement problem requires a set of

n

processes to agree on a value sent by a transmitter, despite a subset of

b

processes behaving in an arbitrary, i.e. Byzantine, manner and sending corrupted messages to all processes in the system. It ...

2015

Highly Dynamic Distributed Computing with Byzantine Failures

Rachid Guerraoui, Anne-Marie Kermarrec, Florian Huc

This paper shows for the first time that distributed computing can be both reliable and efficient in an environment that is both highly dynamic and hostile. More specifically, we show how to maintain clusters of size O(log N), each containing more than two ...

2013

Byzantine Iconoclasm

Graph Chatbot

Chat with Graph Search

The Performance of Byzantine Fault Tolerant Blockchains

Private and Secure Distributed Learning

AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation

Scalable Byzantine Reliable Broadcast

Threshold Logical Clocks for Asynchronous Distributed Coordination and Consensus

The Impact of RDMA on Agreement

Scaling Byzantine Fault Tolerance

Asynchronous Byzantine Machine Learning (the case of SGD)

Beyond One Third Byzantine Failures

Highly Dynamic Distributed Computing with Byzantine Failures

Scalable Byzantine Reliable Broadcast

Scaling Byzantine Fault Tolerance

AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation

The Impact of RDMA on Agreement

Highly Dynamic Distributed Computing with Byzantine Failures

The Performance of Byzantine Fault Tolerant Blockchains

Private and Secure Distributed Learning

Threshold Logical Clocks for Asynchronous Distributed Coordination and Consensus

Asynchronous Byzantine Machine Learning (the case of SGD)

Beyond One Third Byzantine Failures