Publications related to Uniform Consensus Harder than Consensus

Scaling Byzantine Fault Tolerance

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

Abstractions for Solving Consensus and Related Problems with Byzantine Faults

Zarko Milosevic

We become increasingly dependent on online services; therefore, their availability and correct behavior become increasingly important. Software replication is a popular technique for ensuring that computer systems continue to provide a correct service even ...

EPFL2013

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

Generic construction of consensus algorithms for benign and Byzantine faults

André Schiper, Zarko Milosevic, Olivier Rütti

The paper proposes a generic consensus algorithm that highlights the basic and common features of known consensus algorithms. The parameters of the generic algorithm encapsulate the core differences between various consensus algorithms, including leader-ba ...

2010

Generic construction of consensus algorithms for benign and Byzantine faults

André Schiper, Zarko Milosevic, Olivier Rütti

The paper proposes a generic consensus algorithm that highlights the basic and common features of known consensus algorithms. The parameters of the generic algorithm encapsulate the core differences between various consensus algorithms, including leader-ba ...

2009

Names Trump Malice: Tiny Mobile Agents Can Tolerate Byzantine Failures

Rachid Guerraoui, Eric Ruppert

We introduce a new theoretical model of ad hoc mobile computing in which agents have severely restricted memory, highly unpredictable movement and no initial knowledge of the system. Each agent’s memory can store O(1) bits, plus a unique identiﬁer, and O(1 ...

2009

Abstractions for asynchronous distributed computing with malicious players

Marko Vukolic

In modern distributed systems, failures are the norm rather than the exception. In many cases, these failures are not benign. Settings such as the Internet might incur malicious (also called Byzantine or arbitrary) behavior and asynchrony. As a result, and ...

EPFL2008

The Complexity of Asynchronous Byzantine Consensus

Rachid Guerraoui, Marko Vukolic, Partha Dutta

This paper establishes the first theorem relating resilience, round complexity and authentication in distributed computing. We give an exact measure of the time complexity of consensus algorithms that tolerate Byzantine failures and arbitrary long periods ...

2004

Uniform Consensus Harder than Consensus

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Scaling Byzantine Fault Tolerance

Asynchronous Byzantine Machine Learning (the case of SGD)

Beyond One Third Byzantine Failures

Abstractions for Solving Consensus and Related Problems with Byzantine Faults

Highly Dynamic Distributed Computing with Byzantine Failures

Generic construction of consensus algorithms for benign and Byzantine faults

Generic construction of consensus algorithms for benign and Byzantine faults

Names Trump Malice: Tiny Mobile Agents Can Tolerate Byzantine Failures

Abstractions for asynchronous distributed computing with malicious players

The Complexity of Asynchronous Byzantine Consensus

Abstractions for Solving Consensus and Related Problems with Byzantine Faults

Scaling Byzantine Fault Tolerance

Generic construction of consensus algorithms for benign and Byzantine faults

Highly Dynamic Distributed Computing with Byzantine Failures

Abstractions for asynchronous distributed computing with malicious players

Beyond One Third Byzantine Failures

Generic construction of consensus algorithms for benign and Byzantine faults

Names Trump Malice: Tiny Mobile Agents Can Tolerate Byzantine Failures

The Complexity of Asynchronous Byzantine Consensus

Asynchronous Byzantine Machine Learning (the case of SGD)