What is the Context of Reliable Broadcast?

In blockchain and decentralized networks, reliable broadcast forms a foundational layer for many higher-level consensus protocols. Debates often involve balancing the guarantees of reliable message delivery with the need for efficiency and resilience against malicious actors. Current research explores methods to achieve reliable broadcast in asynchronous networks with strong fault tolerance, which directly impacts the liveness and safety properties of decentralized applications. News frequently covers new protocol designs that seek to optimize these core communication primitives.

Reliable Broadcast

Definition

Reliable broadcast is a fundamental property in distributed systems ensuring that if a correct process sends a message, all other correct processes eventually receive it. This mechanism guarantees message delivery to all operational nodes, even in the presence of some faulty processes. It ensures that once a message is delivered to one correct process, it will eventually be delivered to all other correct processes. Such protocols are vital for maintaining data consistency and availability across a network.

∞Byzantine Quorum Systems

∞Protocol Design

∞Trust Topology

Asymmetric Quorum Systems Model Subjective Trust for Decentralized Consensus

Introducing Asymmetric Byzantine Quorum Systems formalizes subjective node trust, paving the way for resilient, heterogeneous, and flexible consensus architectures.

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∞DAG Protocols

∞Asymmetric Trust Model

∞Byzantine Fault Tolerance

Asymmetric Trust Model Secures DAG Consensus Protocols

Researchers generalize DAG consensus to an asymmetric trust model, enabling protocols to maintain security even when nodes hold non-uniform fault tolerance assumptions.

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∞Broadcast Efficiency

∞Asynchronous Communication

∞Reliable Broadcast

Erasure Codes Achieve Near-Optimal Communication in Adversarial Reliable Broadcast

New MBRB algorithm uses erasure coding and vector commitments to slash broadcast communication cost, enabling scalable data availability layers.

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∞Cryptographic Assumptions

∞Asymptotic Optimality

∞Distributed Algorithms

Near-Optimal Communication Byzantine Broadcast under Message Adversary Model

A new Byzantine Reliable Broadcast algorithm leverages erasure codes to achieve near-optimal O(|m| + nκ) communication complexity, securing asynchronous systems against message-dropping adversaries.

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∞Subjective Trust Model

∞Distributed Systems

∞Byzantine Quorum Systems

Formalizing Subjective Trust Assumptions for Resilient Decentralized Consensus

Introducing asymmetric Byzantine quorum systems, this work formally proves safety and liveness in networks where nodes choose their own trust sets.

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∞Byzantine Fault Tolerance

∞Protocol Simplification

∞Message Overhead

Graded Dispersal Simplifies BFT Protocols Reducing Complexity and Communication Overhead

Foundational BFT protocols are simplified through Graded Dispersal, a new primitive that cuts communication complexity by 40% and reduces consensus rounds.

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∞Byzantine Fault

∞Throughput Latency

∞Protocols

Uncertified DAGs Achieve Optimal Latency in Byzantine Consensus

A novel commit rule for uncertified Directed Acyclic Graphs revolutionizes consensus, ensuring immediate transaction finality and optimal latency in distributed systems.

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∞Fault Tolerance

∞Decentralized Networks

∞Protocol Simplification

Weakly-Terminating Binary Agreement Simplifies Atomic Broadcast for Robust Distributed Systems

Weakly-terminating Binary Agreement simplifies Atomic Broadcast, enabling more efficient, resilient protocols for decentralized systems.