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This paper considers the problem of Byzantine dispersion and extends previous work along several parameters. The problem of Byzantine dispersion asks: given $n$ robots, up to $f$ of which are Byzantine, initially placed arbitrarily on an…

分布式、并行与集群计算 · 计算机科学 2021-09-28 Anisur Rahaman Molla , Kaushik Mondal , William K. Moses

Quantum communication resources offer significant advantages for fault-tolerant distributed protocols, particularly in Byzantine Agreement (BA), where reliability against adversarial interference is essential. Quantum Detectable Byzantine…

This work performs an experimental evaluation of four asynchronous binary Byzantine consensus algorithms [11,16,18] in various configurations. In addition to being asynchronous these algorithms run in rounds, tolerate up to one third of…

分布式、并行与集群计算 · 计算机科学 2020-04-24 Tyler Crain

Modular methods to transform Byzantine consensus protocols into ones that are fast and communication efficient in the common cases are presented. Small and short protocol segments called layers are custom designed to optimize performance in…

分布式、并行与集群计算 · 计算机科学 2019-05-16 Guy Goren , Yoram Moses

Distributed machine learning algorithms enable learning of models from datasets that are distributed over a network without gathering the data at a centralized location. While efficient distributed algorithms have been developed under the…

机器学习 · 计算机科学 2020-07-07 Zhixiong Yang , Waheed U. Bajwa

We consider the federated learning problem where data on workers are not independent and identically distributed (i.i.d.). During the learning process, an unknown number of Byzantine workers may send malicious messages to the central node,…

机器学习 · 计算机科学 2021-08-31 Jie Peng , Zhaoxian Wu , Qing Ling , Tianyi Chen

For reaching efficient deterministic synchronous Byzantine agreement upon partially connected networks, the traditional broadcast primitive is extended and integrated with a general framework. With this, the Byzantine agreement is extended…

分布式、并行与集群计算 · 计算机科学 2022-03-09 Shaolin Yu , Jihong Zhu , Jiali Yang , Wei Lu

This paper describes a simple and efficient Binary Byzantine faulty tolerant consensus algorithm using a weak round coordinator and the partial synchrony assumption to ensure liveness. In the algorithm, non-faulty nodes perform an initial…

分布式、并行与集群计算 · 计算机科学 2020-01-23 Tyler Crain

A reliable communication primitive guarantees the delivery, integrity, and authorship of messages exchanged between correct processes of a distributed system. We investigate the necessary and sufficient conditions for reliable communication…

分布式、并行与集群计算 · 计算机科学 2026-05-27 Silvia Bonomi , Giovanni Farina , Sébastien Tixeuil

Quantum key distribution (QKD) networks is expected to provide information-theoretical secured (ITS) communication over long distances. QKD networks based trusted relay architecture are now the most widely used scheme in practice. However,…

量子物理 · 物理学 2022-04-22 Yi Luo , Hao-Kun Mao , Qiong Li

The efficient certification of classically intractable quantum devices has been a central research question for some time. However, to observe a "quantum advantage", it is believed that one does not need to build a large scale universal…

量子物理 · 物理学 2018-03-05 Daniel Mills , Anna Pappa , Theodoros Kapourniotis , Elham Kashefi

We consider the gathering task by a team of $m$ synchronous mobile robots in a graph of $n$ nodes. Each robot has an identifier (ID) and runs its own deterministic algorithm, i.e., there is no centralized coordinator. We consider a…

分布式、并行与集群计算 · 计算机科学 2020-09-04 Avery Miller , Ullash Saha

This paper proposes a Robust One-Step Estimator(ROSE) to solve the Byzantine failure problem in distributed M-estimation when a moderate fraction of node machines experience Byzantine failures. To define ROSE, the algorithms use the robust…

统计理论 · 数学 2023-07-18 Chuhan Wang , Xuehu Zhu , Lixing Zhu

Byzantine Agreement (BA) considers a setting of $n$ parties, out of which up to $t$ can exhibit byzantine (malicious) behavior. Honest parties must decide on a common value (agreement), which must belong to a set determined by the honest…

分布式、并行与集群计算 · 计算机科学 2025-09-11 Andrei Constantinescu , Marc Dufay , Diana Ghinea , Roger Wattenhofer

This paper proposes the first implementation of a self-stabilizing regular register emulated by $n$ servers that is tolerant to both mobile Byzantine agents, and \emph{transient failures} in a round-free synchronous model. Differently from…

分布式、并行与集群计算 · 计算机科学 2018-10-24 Silvia Bonomi , Antonella Del Pozzo , Maria Potop-Butucaru , Sébastien Tixeuil

Conformal prediction has shown impressive capacity in constructing statistically rigorous prediction sets for machine learning models with exchangeable data samples. The siloed datasets, coupled with the escalating privacy concerns related…

机器学习 · 计算机科学 2024-06-05 Mintong Kang , Zhen Lin , Jimeng Sun , Cao Xiao , Bo Li

This report describes three particular technological advances in formal proofs. The HOL Light proof assistant will be used to illustrate the design of a highly reliable system. Today, proof assistants can verify large bodies of advanced…

计算机科学中的逻辑 · 计算机科学 2014-08-28 Thomas C. Hales

We consider the fundamental benchmarking problem of gathering in an $(N,f)$-fault system consisting of $N$ robots, of which at most $f$ might fail at any execution, under asynchrony. Two seminal results established impossibility of a…

分布式、并行与集群计算 · 计算机科学 2025-09-16 Subhajit Pramanick , Saswata Jana , Partha Sarathi Mandal , Gokarna Sharma

As robots are being increasingly used in close proximity to humans and objects, it is imperative that robots operate safely and efficiently under real-world conditions. Yet, the environment is seldom known perfectly. Noisy sensors and…

机器人学 · 计算机科学 2021-04-13 Antony Thomas , Fulvio Mastrogiovanni , Marco Baglietto

Partial participation is essential for communication-efficient federated learning at scale, yet existing Byzantine-robust methods typically assume full client participation. In the partial participation setting, a majority of the sampled…

机器学习 · 计算机科学 2026-01-30 Kaoru Otsuka , Yuki Takezawa , Makoto Yamada