7 citations · 16 across the 6 of their papers we have counts for
8 papers
JUMBO: Fully Asynchronous BFT Consensus Made Truly Scalable
Hao Cheng, Yuan Lu, Zhenliang Lu +3
Recent progresses in asynchronous Byzantine fault-tolerant (BFT) consensus, e.g. Dumbo-NG (CCS' 22) and Tusk (EuroSys' 22), show promising performance through decoupling transactio…
Dumbo-NG: Fast Asynchronous BFT Consensus with Throughput-Oblivious Latency
Yingzi Gao, Yuan Lu, Zhenliang Lu +3
Despite recent progresses of practical asynchronous Byzantine fault tolerant (BFT) consensus, the state-of-the-art designs still suffer from suboptimal performance. Particularly, t…
Efficient Asynchronous Byzantine Agreement without Private Setups
Yingzi Gao, Yuan Lu, Zhenliang Lu +3
Efficient asynchronous Byzantine agreement (BA) protocols were mostly studied with private setups, e.g., pre-setup threshold cryptosystem. Challenges remain to reduce the large com…
Bolt-Dumbo Transformer: Asynchronous Consensus As Fast As the Pipelined BFT
Yuan Lu, Zhenliang Lu, Qiang Tang
An urgent demand of deploying BFT consensus over the Internet is raised for implementing blockchain services. The deterministic (partial) synchronous protocols can be simple and fa…
Fair Peer-to-Peer Content Delivery via Blockchain
Songlin He, Yuan Lu, Qiang Tang +2
Peer-to-peer (p2p) content delivery is promising to provide benefits like cost-saving and scalable peak-demand handling in comparison with conventional content delivery networks (C…
Generic Superlight Client for Permissionless Blockchains
Yuan Lu, Qiang Tang, Guiling Wang
We conduct a systematic study on the light client of permissionless blockchains, in the setting where the full nodes and the light clients are rational. Under such a game-theoretic…
Dragoon: Private Decentralized HITs Made Practical
Yuan Lu, Qiang Tang, Guiling Wang
With the rapid popularity of blockchain, decentralized human intelligence tasks (HITs) are proposed to crowdsource human knowledge without relying on vulnerable third-party platfor…
ZebraLancer: Decentralized Crowdsourcing of Human Knowledge atop Open Blockchain
Yuan Lu, Qiang Tang, Guiling Wang
We design and implement the first private and anonymous decentralized crowdsourcing system ZebraLancer, and overcome two fundamental challenges of decentralizing crowdsourcing, i.e…