112 citations · 217 across the 26 of their papers we have counts for
28 papers
Orthrus: Accelerating Multi-BFT Consensus through Concurrent Partial Ordering of Transactions (Extended Version)
Hanzheng Lyu, Shaokang Xie, Jianyu Niu +4
Multi-Byzantine Fault Tolerant (Multi-BFT) consensus allows multiple consensus instances to run in parallel, resolving the leader bottleneck problem inherent in classic BFT consens…
Did we miss P In CAP? Partial Progress Conjecture under Asynchrony
Junchao Chen, Suyash Gupta, Daniel P. Hughes +1
Each application developer desires to provide its users with consistent results and an always-available system despite failures. Boldly, the CALM theorem disagrees. It states that…
HotStuff-1: Linear Consensus with One-Phase Speculation
Dakai Kang, Suyash Gupta, Dahlia Malkhi +1
This paper introduces HotStuff-1, a BFT consensus protocol that improves the latency of HotStuff-2 by two network hops while maintaining linear communication complexity against fau…
Data-CASE: Grounding Data Regulations for Compliant Data Processing Systems
Vishal Chakraborty, Stacy Ann-Elvy, Sharad Mehrotra +5
Data regulations, such as GDPR, are increasingly being adopted globally to protect against unsafe data management practices. Such regulations are, often ambiguous (with multiple va…
Diba: A Re-configurable Stream Processor
Mohammadreza Najafi, Thamir M. Qadah, Mohammad Sadoghi +1
Stream processing acceleration is driven by the continuously increasing volume and velocity of data generated on the Web and the limitations of storage, computation, and power cons…
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service
Muhammad Jahanzeb Khan, Rui Hu, Mohammad Sadoghi +1
Federated Learning (FL) is a machine learning approach that allows multiple clients to collaboratively learn a shared model without sharing raw data. However, current FL systems pr…