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20172021
most citedFantom: A scalable framework for asynchronous distributed systems

12 citations · 35 across the 10 of their papers we have counts for

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8 papers · 1 filter

cs.DC2021

Lachesis: Scalable Asynchronous BFT on DAG Streams

Quan Nguyen, Andre Cronje, Michael Kong +2

This paper consolidates the core technologies and key concepts of our novel Lachesis consensus protocol and Fantom Opera platform, which is permissionless, leaderless and EVM compa…

cs.DC2020

OV: Validity-based Optimistic Smart Contracts

Quan Nguyen, Andre Cronje, Michael Kong

Smart contract (SC) platforms form blocks of transactions into a chain and execute them via user-defined smart contracts. In conventional platforms like Bitcoin and Ethereum, the t…

cs.DC2020★ 1 cited

On Probabilistic Byzantine Fault Tolerance

Quan Nguyen, Andre Cronje

Byzantine fault tolerance (BFT) has been extensively studied in distributed trustless systems to guarantee system's functioning when up to 1/3 Byzantine processes exist. Despite a…

cs.DC2019

Fast Stochastic Peer Selection in Proof-of-Stake Protocols

Quan Nguyen, Andre Cronje, Michael Kong

The problem of peer selection, which randomly selects a peer from a set, is commonplace in Proof-of-Stake (PoS) protocols. In PoS, peers are chosen randomly with probability propor…

cs.DC2019★ 5 cited

StakeDag: Stake-based Consensus For Scalable Trustless Systems

Quan Nguyen, Andre Cronje, Michael Kong +2

Trustless systems, such as those blockchain enpowered, provide trust in the system regardless of the trust of its participants, who may be honest or malicious. Proof-of-stake (PoS)…

cs.DC2019★ 5 cited

ONLAY: Online Layering for scalable asynchronous BFT system

Quan Nguyen, Andre Cronje

This paper presents a new framework, namely \emph{\onlay}, for scalable asynchronous distributed systems. In this framework, we propose a consensus protocol , which is based o…

cs.DC2018★ 12 cited

Fantom: A scalable framework for asynchronous distributed systems

Sang-Min Choi, Jiho Park, Quan Nguyen +1

We describe \emph{Fantom}, a framework for asynchronous distributed systems. \emph{Fantom} is based on the Lachesis Protocol~\cite{lachesis01}, which uses asynchronous event transm…

cs.DC2018★ 7 cited

OPERA: Reasoning about continuous common knowledge in asynchronous distributed systems

Sang-Min Choi, Jiho Park, Quan Nguyen +5

This paper introduces a new family of consensus protocols, namely \emph{Lachesis-class} denoted by , for distributed networks with guaranteed Byzantine fault tolerance…