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Ling Ren

17 papers hereh-index 374.1k citations89 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author9
  • last author7

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CR9
  • cs.DC7
  • math.PR1
same name
  • Ling Ren — 2 papers
  • Ling Ren — 2 papers, h 2
  • Ling Ren — 1 paper, h 1
  • Ling Ren — 1 paper, h 0
  • Ling Ren — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152022
most citedEfficient Synchronous Byzantine Consensus

47 citations · 62 across the 13 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.DC2021

Good-case and Bad-case Latency of Unauthenticated Byzantine Broadcast: A Complete Categorization

Ittai Abraham, Ling Ren, Zhuolun Xiang

This paper studies the {\em good-case latency} of {\em unauthenticated} Byzantine fault-tolerant broadcast, which measures the time it takes for all non-faulty parties to commit gi…

cs.DC2021★ 1 cited

Brief Note: Fast Authenticated Byzantine Consensus

Ittai Abraham, Kartik Nayak, Ling Ren +1

Byzantine fault-tolerant (BFT) state machine replication (SMR) has been studied for over 30 years. Recently it has received more attention due to its application in permissioned bl…

cs.DC2021

Good-case Latency of Byzantine Broadcast: A Complete Categorization

Ittai Abraham, Kartik Nayak, Ling Ren +1

This paper explores the problem good-case latency of Byzantine fault-tolerant broadcast, motivated by the real-world latency and performance of practical state machine replication…

cs.DC2021★ 1 cited

Strengthened Fault Tolerance in Byzantine Fault Tolerant Replication

Zhuolun Xiang, Dahlia Malkhi, Kartik Nayak +1

Byzantine fault tolerant (BFT) state machine replication (SMR) is an important building block for constructing permissioned blockchain systems. In contrast to Nakamoto Consensus wh…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.