Travelers: A scalable fair ordering BFT system
The paper ‘Travelers: A scalable fair ordering BFT system’ by Bowen Xue and Sreeram Kannan was published on 4th January 2022. It proposes a new system of Byzantine Fault Tolerant…
Continue readingThe paper ‘Travelers: A scalable fair ordering BFT system’ by Bowen Xue and Sreeram Kannan was published on 4th January 2022. It proposes a new system of Byzantine Fault Tolerant…
Continue readingThe article discusses peer-to-peer deep learning algorithms that allow distributed devices to collaboratively train deep neural networks without exchanging raw data or relying on a central server. The authors identify…
Continue readingThe paper proposes a modification to Proof-of-Work (PoW) protocols, named ADESS, to deter double-spend attacks in blockchain. It introduces two novel features: a criteria for identifying an attacker chain by…
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