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In this paper, we propose BR-MTRL, a Byzantine-resilient multi-task representation learning framework that handles faulty or malicious agents. Our approach leverages representation learning through a shared neural network model, where all…

Machine Learning · Computer Science 2025-11-03 Tuan Le , Shana Moothedath

The paper investigates the Lattice Agreement (LA) problem in asynchronous systems. In LA each process proposes an element $e$ from a predetermined lattice, and has to decide on an element $e'$ of the lattice such that $e \leq e'$. Moreover,…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-14 Giuseppe Antonio Di Luna , Emmanuelle Anceaume , Leonardo Querzoni

Distributed learning has emerged as a leading paradigm for training large machine learning models. However, in real-world scenarios, participants may be unreliable or malicious, posing a significant challenge to the integrity and accuracy…

Machine Learning · Computer Science 2024-06-10 Grigory Malinovsky , Peter Richtárik , Samuel Horváth , Eduard Gorbunov

At PODC 2014, A. Most\'efaoui, H. Moumen, and M. Raynal presented a new and simple randomized signature-free binary consensus algorithm (denoted here MMR) that copes with the net effect of asynchrony Byzantine behaviors. Assuming message…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-01-24 Chryssis Georgiou , Ioannis Marcoullis , Michel Raynal , Elad Michael Schiller

Self-stabilization is a versatile approach to fault-tolerance since it permits a distributed system to recover from any transient fault that arbitrarily corrupts the contents of all memories in the system. Byzantine tolerance is an…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-04-29 Swan Dubois , Toshimitsu Masuzawa , Sébastien Tixeuil

Federated learning (FL) enables a set of geographically distributed clients to collectively train a model through a server. Classically, the training process is synchronous, but can be made asynchronous to maintain its speed in presence of…

Machine Learning · Computer Science 2024-06-21 Bart Cox , Abele Mălan , Lydia Y. Chen , Jérémie Decouchant

This paper addresses the problem of universal synchronization primitives that can support scalable thread synchronization for large-scale many-core architectures. The universal synchronization primitives that have been deployed widely in…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-11-11 Phuong Hoai Ha , Philippas Tsigas , Otto J. Anshus

One of the most celebrated problems of fault-tolerant distributed computing is the consensus problem. It was shown to abstract a myriad of problems in which processes have to agree on a single value. Consensus applications include…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-09-13 Romaric Duvignau , Michel Raynal , Elad Michael Schiller

Byzantine Fault Tolerant (BFT) consensus forms the foundation of many modern blockchains striving for both high throughput and low latency. A growing bottleneck is transaction execution and validation on the critical path of consensus,…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-25 Ignacio Amores-Sesar , Mirza Ahad Baig , Seth Gilbert , Ray Neiheiser , Michelle X. Yeo

We introduce an information-theoretic framework, named Coded State Machine (CSM), to securely and efficiently execute multiple state machines on untrusted network nodes, some of which are Byzantine. The standard method of solving this…

Information Theory · Computer Science 2019-06-27 Songze Li , Saeid Sahraei , Mingchao Yu , Salman Avestimehr , Sreeram Kannan , Pramod Viswanath

This paper presents Basil, the first transactional, leaderless Byzantine Fault Tolerant key-value store. Basil leverages ACID transactions to scalably implement the abstraction of a trusted shared log in the presence of Byzantine actors.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-10-06 Florian Suri-Payer , Matthew Burke , Zheng Wang , Yunhao Zhang , Lorenzo Alvisi , Natacha Crooks

Replicated services accessed via {\em quorums} enable each access to be performed at only a subset (quorum) of the servers, and achieve consistency across accesses by requiring any two quorums to intersect. Recently, $b$-masking quorum…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Dahlia Malkhi , Michael Reiter , Avishai Wool

With the increasing deployment of deep neural networks (DNNs) in terrestrial and aerospace safety-critical applications, system reliability has emerged as a co-equal design metric alongside computational efficiency. Algorithm-based fault…

Cryptography and Security · Computer Science 2025-04-22 Xinghua Xue , Cheng Liu , Feng Min , Tao Luo , Yinhe Han

The problem of Byzantine consensus has been key to designing secure distributed systems. However, it is particularly difficult, mainly due to the presence of Byzantine processes that act arbitrarily and the unknown message delays in general…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-20 Alejandro Ranchal-Pedrosa , Vincent Gramoli

Numerous distributed applications, such as cloud computing and distributed ledgers, necessitate the system to invoke asynchronous consensus objects an unbounded number of times, where the completion of one consensus instance is followed by…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-07-28 Chryssis Georgiou , Michel Raynal , Elad M. Schiller

State Machine Replication (SMR) solutions often divide time into rounds, with a designated leader driving decisions in each round. Progress is guaranteed once all correct processes synchronize to the same round, and the leader of that round…

Cryptography and Security · Computer Science 2020-08-11 Oded Naor , Idit Keidar

There is a resurgence of interest in Byzantine fault-tolerant (BFT) systems due to blockchains. However, leader-based BFT consensus protocols used by permissioned blockchains have limited scalability and robustness. To alleviate the leader…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-09-27 Fangyu Gai , Jianyu Niu , Ivan Beschastnikh , Chen Feng , Sheng Wang

This paper presents a new framework, namely \emph{\onlay}, for scalable asynchronous distributed systems. In this framework, we propose a consensus protocol $L_{\phi}$, which is based on the Lachesis protocol~\cite{lachesis01}. At the core…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-14 Quan Nguyen , Andre Cronje

We propose the first deterministic algorithm that tolerates up to $f$ byzantine faults in $3f+1$-sized networks and performs in the asynchronous CORDA model. Our solution matches the previously established lower bound for the…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-05-13 Zohir Bouzid , Maria Potop-Butucaru , Sébastien Tixeuil

Modern web applications replicate their data across the globe and require strong consistency guarantees for their most critical data. These guarantees are usually provided via state-machine replication (SMR). Recent advances in SMR have…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-27 Vitor Enes , Carlos Baquero , Alexey Gotsman , Pierre Sutra
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