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This paper explores an old problem, {\em Byzantine fault-tolerant Broadcast} (BB), under a new model, {\em selective broadcast model}. The new model "interpolates" between the two traditional models in the literature. In particular, it…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-02-03 Lewis Tseng , Nitin Vaidya

Byzantine Fault-Tolerant (BFT) protocols have recently been extensively used by decentralized data management systems with non-trustworthy infrastructures, e.g., permissioned blockchains. BFT protocols cover a broad spectrum of design…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-05 Mohammad Javad Amiri , Chenyuan Wu , Divyakant Agrawal , Amr El Abbadi , Boon Thau Loo , Mohammad Sadoghi

Federated Learning (FL) enables heterogeneous clients to collaboratively train a shared model without centralizing their raw data, offering an inherent level of privacy. However, gradients and model updates can still leak sensitive…

Machine Learning · Computer Science 2026-04-07 Rustem Islamov , Grigory Malinovsky , Alexander Gaponov , Aurelien Lucchi , Peter Richtárik , Eduard Gorbunov

In this paper, we describe a novel proactive recovery scheme based on service migration for long-running Byzantine fault tolerant systems. Proactive recovery is an essential method for ensuring long term reliability of fault tolerant…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-03-12 Wenbing Zhao

Sharding has emerged as a critical solution to address the scalability challenges faced by blockchain networks, enabling them to achieve higher transaction throughput, reduced latency, and optimized resource usage. This paper investigates…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-25 Ziwei Wang , Cong Wu , Paolo Tasca

Miniaturized satellites are currently not considered suitable for critical, high-priority, and complex multi-phased missions, due to their low reliability. As hardware-side fault tolerance (FT) solutions designed for larger spacecraft can…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-26 Christian M. Fuchs , Nadia M. Murillo , Aske Plaat , Erik van der Kouwe , Todor Stefanov

In this paper, we present a Byzantine fault tolerant distributed commit protocol for transactions running over untrusted networks. The traditional two-phase commit protocol is enhanced by replicating the coordinator and by running a…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Wenbing Zhao

Leader election serves a well-defined role in leader-based Byzantine Fault Tolerant (BFT) protocols. Existing reputation-based leader election frameworks for partially synchronous BFTs suffer from either protocol-specific proofs, narrow…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-17 Xuyang Liu , Zijian Zhang , Zhen Li , Jiahang Sun , Jiamou Liu , Peng Jiang

To improve the overall efficiency and reliability of Byzantine protocols in large sparse networks, we propose a new system assumption for developing multi-scale fault-tolerant systems, with which several kinds of multi-scale Byzantine…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-08 Shaolin Yu , Jihong Zhu , Jiali Yang , Yulong Zhan

Byzantine Fault Tolerant (BFT) consensus exhibits higher throughput in comparison to Proof of Work (PoW) in blockchains. But BFT-based protocols suffer from scalability problems with respect to the number of replicas in the network. The…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-04-30 Mohammad M. Jalalzai , Costas Busch , Golden Richard

This paper describes BigBFT, a multi-leader Byzantine fault tolerance protocol that achieves high throughput and scalable consensus in blockchain systems. BigBFT achieves this by (1) enabling every node to be a leader that can propose and…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-25 Salem Alqahtani , Murat Demirbas

This paper focuses on robust stability and $H_\infty$ performance analyses of hybrid continuous/discrete time linear multi-rate control systems in the presence of parametric uncertainties. These affect the continuous-time plant in a…

Systems and Control · Electrical Eng. & Systems 2024-07-08 Jean-Marc Biannic , Clément Roos , Christelle Cumer

With the increasing number of components and further miniaturization the mean time between faults in supercomputers will decrease. System level fault tolerance techniques are expensive and cost energy, since they are often based on…

Computational Engineering, Finance, and Science · Computer Science 2015-01-30 Markus Huber , Björn Gmeiner , Ulrich Rüde , Barbara Wohlmuth

This paper addresses two critical challenges in analog In-Memory Computing (IMC) systems that limit their scalability and deployability: the computational unreliability caused by stuck-at faults (SAFs) and the high compilation overhead of…

Hardware Architecture · Computer Science 2025-08-22 Kang Eun Jeon , Sangheum Yeon , Jinhee Kim , Hyeonsu Bang , Johnny Rhe , Jong Hwan Ko

This paper introduces Hamster, a novel synchronous Byzantine Fault Tolerance protocol that achieves better performance and has weaker dependency on synchrony. Specifically, Hamster employs coding techniques to significantly decrease…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-01 Ximing Fu , Mo Li , Qingming Zeng , Tianyang Li , Shenghao Yang , Yonghui Guan , Chuanyi Liu

Recently, a novel peer sampling protocol, Elevator, was introduced to construct network topologies tailored for emerging decentralized applications such as federated learning and blockchain. Elevator builds hub-based topologies in a fully…

Cryptography and Security · Computer Science 2026-01-29 Mohamed Amine Legheraba , Nour Rachdi , Maria Gradinariu Potop-Butucaru , Sébastien Tixeuil

Federated Learning (FL) emerges as a distributed machine learning approach that addresses privacy concerns by training AI models locally on devices. Decentralized Federated Learning (DFL) extends the FL paradigm by eliminating the central…

Machine Learning · Computer Science 2025-11-17 Diego Cajaraville-Aboy , Ana Fernández-Vilas , Rebeca P. Díaz-Redondo , Manuel Fernández-Veiga

The ever growing demands of embedded systems to satisfy high computing performance and cost efficiency lead to the trend of using commercial off-the-shelf hardware. However, due to their highly integrated design they are becoming…

Software Engineering · Computer Science 2015-11-24 Andrea Höller , Tobias Rauter , Johannes Iber , Georg Macher , Christian Kreiner

Most of the Blockchain permissioned systems employ Byzantine fault-tolerance (BFT) consensus protocols to ensure that honest validators agree on the order for appending entries to their ledgers. In this paper, we study the performance and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-10-13 Salem Alqahtani , Murat Demirbas

Low latency is one of the most desirable features of partially synchronous Byzantine consensus protocols. Existing low-latency protocols have achieved consensus with just two communication steps by reducing the maximum number of faults the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-30 Mohammad M. Jalalzai , Chen Feng , Victoria Lemieux
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