Reaching Approximate Byzantine Consensus with Multi-hop Communication
Lili Su, Nitin Vaidya

TL;DR
This paper investigates the conditions under which approximate Byzantine consensus can be achieved in networks with multi-hop communication, providing necessary and sufficient topological criteria and a new algorithm based on a minimal message cover property.
Contribution
It introduces a comprehensive analysis of multi-hop relay effects on Byzantine consensus, extending existing conditions for local communication to broader multi-hop scenarios and proposing a novel algorithm.
Findings
Conditions for consensus are weaker for multi-hop communication with l>1.
For undirected graphs, n≥3f+1 and node connectivity ≥2f+1 are necessary and sufficient.
The proposed trim function algorithm works for multi-graphs and is based on a minimal message cover property.
Abstract
We address the problem of reaching consensus in the presence of Byzantine faults. In particular, we are interested in investigating the impact of messages relay on the network connectivity for a correct iterative approximate Byzantine consensus algorithm to exist. The network is modeled by a simple directed graph. We assume a node can send messages to another node that is up to hops away via forwarding by the intermediate nodes on the routes, where is a natural number. We characterize the necessary and sufficient topological conditions on the network structure. The tight conditions we found are consistent with the tight conditions identified for , where only local communication is allowed, and are strictly weaker for . Let denote the length of a longest path in the given network. For and undirected graphs, our conditions hold if and only…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed systems and fault tolerance · Nanocluster Synthesis and Applications · Optimization and Search Problems
