Convex Consensus with Asynchronous Fallback

Convex Consensus (CC) allows a set of parties to agree on a value v inside the convex hull of their inputs with respect to a predefined abstract convexity notion, even in the presence of byzantine parties. In this work, we focus on achieving CC in the best-of-both-worlds paradigm, i.e., simultaneously tolerating at most ts corruptions if communication is synchronous, and at most ta ≤ ts corruptions if it is asynchronous. Our protocol is randomized, which is a requirement under asynchrony, and we prove that it achieves optimal resilience. In the process, we introduce communication primitives tailored to the network-agnostic model. These are a deterministic primitive allowing parties to obtain intersecting views (Gather), and a randomized primitive leading to identical views (Agreement on a Core-Set). Our primitives provide stronger guarantees than previous counterparts, making them of independent interest.

Publication Details

Journal
Repository for Publications and Research Data (ETH Zurich)
Published
2024-10-24
DOI
https://doi.org/10.3929/ethz-b-000687840
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
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article

Convex Consensus with Asynchronous Fallback

Repository for Publications and Research Data (ETH Zurich)
Distributed systems and fault tolerance
article

Convex Consensus with Asynchronous Fallback

article en

Abstract

Convex Consensus (CC) allows a set of parties to agree on a value v inside the convex hull of their inputs with respect to a predefined abstract convexity notion, even in the presence of byzantine parties. In this work, we focus on achieving CC in the best-of-both-worlds paradigm, i.e., simultaneously tolerating at most ts corruptions if communication is synchronous, and at most ta ≤ ts corruptions if it is asynchronous. Our protocol is randomized, which is a requirement under asynchrony, and we prove that it achieves optimal resilience. In the process, we introduce communication primitives tailored to the network-agnostic model. These are a deterministic primitive allowing parties to obtain intersecting views (Gather), and a randomized primitive leading to identical views (Agreement on a Core-Set). Our primitives provide stronger guarantees than previous counterparts, making them of independent interest.

Repository for Publications and Research Data (ETH Zurich)
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Distributed systems and fault tolerance
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