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Robust federated learning for cloud environments using evolutionary optimization and blockchain [PDF]
Scientific ReportsThe growing dependence on cloud-based distributed intelligence requires learning systems that can protect data privacy while maintaining efficiency. Federated learning has become an important method to train models without centralizing raw data, but its ...
S. P. Panimalar, S. Gunasundari
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SRFACS: A secure and robust framework for anonymous communication systems. [PDF]
PLoS ONEAnonymous communication is crucial for preserving user privacy in various applications, such as anonymous browsing, secure online payments, and electronic voting. However, current systems face significant challenges related to robustness, fault tolerance,
Daxin Zhu +6 more
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Dynamic Byzantine Broadcast in Asynchronous Message-Passing Systems
IEEE Access, 2022 The reconfiguration problem is considered a key challenge in distributed systems, especially in dynamic asynchronous message-passing systems.
Jing Li +3 more
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Future Internet, 2022 Blockchain technology can solve the problem of trust in the open network in a decentralized way. It has broad application prospects and has attracted extensive attention from academia and industry.
Huanliang Xiong +4 more
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Applied Sciences, 2023 Crash fault tolerance describes the capability of a distributed system to maintain its proper function despite the occurrence of crashes or failures in one or more of its components.
Jonas S. Søgaard +3 more
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Interminable Flows: A Generic, Joint, Customizable Resiliency Model for Big-Data Streaming Platforms
IEEE Access, 2023 The examiner of cloud computing systems in the last few years observes that there is a trend of the emergence of a new Big Data framework almost every year. Since Hadoop was developed in 2007, new frameworks followed it such as Spark, Storm, Heron, Apex,
Bara Abusalah +3 more
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ZenoPS: A Distributed Learning System Integrating Communication Efficiency and Security
Algorithms, 2022 Distributed machine learning is primarily motivated by the promise of increased computation power for accelerating training and mitigating privacy concerns.
Cong Xie +2 more
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Fair Byzantine Agreements for Blockchains
IEEE Access, 2020 The Byzantine general problem is the core problem that consensus algorithms are trying to solve, which is at the heart of the design of blockchains. As a result, we have seen numerous proposals of consensus algorithms in recent years, trying to improve ...
Po-Chun Kuo +3 more
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Improved GNSS Localization and Byzantine Detection in UAV Swarms
Sensors, 2020 Many tasks performed by swarms of unmanned aerial vehicles require localization. In many cases, the sensors that take part in the localization process suffer from inherent measurement errors.
Shlomi Hacohen +3 more
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Assessing the impact of Byzantine attacks on coupled phase oscillators
Journal of Physics: Complexity, 2023 For many coupled dynamical systems, the interaction is the outcome of the measurement that each unit has of the others as e.g. in modern inverter-based power grids, autonomous vehicular platoons or swarms of drones, or it is the result of physical flows.
Melvyn Tyloo
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