Byzantine Fault Tolerance

Definition ∞ Byzantine Fault Tolerance is a property of a distributed system that allows it to continue operating correctly even when some of its components fail or act maliciously. In blockchain contexts, it ensures that the network can reach agreement on the state of the ledger despite the presence of nodes that may exhibit unpredictable or adversarial behavior. This capability is fundamental to the security and reliability of decentralized ledgers.
Context ∞ Debates concerning Byzantine Fault Tolerance often arise when discussing the security models of various blockchain protocols, particularly in relation to their resistance against Sybil attacks or coordinated malicious actions by network participants. Its implementation and robustness are critical considerations for assessing the trustworthiness of a given distributed ledger technology.

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→Communication Overhead Reduction

→Sharded Consensus Protocol

→Leaderless BFT

Two-Phase Byzantine Fault Tolerance Boosts Sharded Blockchain Performance and Security

A novel two-phase BFT consensus protocol fundamentally lowers sharding latency and overhead by achieving 50% intra-shard fault tolerance.

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→Decentralized Ledger

→Machine Learning

→Federated Learning

Zero-Knowledge Proof of Training Secures Federated Learning Consensus and Privacy

The ZKPoT mechanism cryptographically validates model contributions using zk-SNARKs, resolving the critical trade-off between consensus efficiency and data privacy.

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→Local Computation

→Epidemic Consensus Protocol

→Consensus Mechanism

Epidemic Consensus Achieves Leaderless, Extreme-Scale, Collusion-Resistant Blockchain Finality

This new leaderless consensus protocol, Blockchain Epidemic Consensus Protocol (BECP), leverages viral communication to solve the decentralization-scalability trade-off.

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→Bounded Degree Networks

→Randomized Algorithms

→Distributed Consensus

Sparse Network Byzantine Agreement Achieves Near-Linear Fault Tolerance

A new fully-distributed protocol utilizes Byzantine Random Walks to achieve near-linear fault tolerance in sparse networks, fundamentally securing real-world peer-to-peer architectures.

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→Byzantine Fault Tolerance

→Security Parameter

→Threshold Cryptography

Linear-Complexity Secret Sharing Unlocks Scalable Decentralized Randomness Beacons

A novel Publicly Verifiable Secret Sharing scheme reduces complexity to $O(n)$, enabling highly scalable, unbiasable randomness for large-scale consensus.

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→Leader-Based Consensus

→Hybrid Protocol

→Transaction Finality

Angelfish Consensus Unifies Leader-DAG BFT for Optimal Throughput and Latency

The Angelfish hybrid consensus protocol dynamically integrates leader-based and DAG architectures, resolving the core BFT throughput-latency trade-off.

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→Consensus Primitive

→Decentralized Sequencer

→Modular Blockchain

Set Byzantine Consensus Decouples Rollup Sequencing from Centralized Control

The research introduces Set Byzantine Consensus to construct a Decentralized Arranger, fundamentally solving rollup centralization by separating transaction content agreement from final ordering.

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→Distributed Algorithms

→Byzantine Fault Tolerance

→State Transition Function

Set Byzantine Consensus Decentralizes Rollup Sequencing and Data Availability

Set Byzantine Consensus introduces a new primitive for L2s, enabling a decentralized 'arranger' service to eliminate sequencer centralization and censorship risk.

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→Low Latency Liveness

→State Machine Replication

→Enhanced System Throughput

Graded Broadcast Protocol Decouples Agreement Achieving Optimal Asynchronous Latency

Falcon's Graded Broadcast bypasses mandatory agreement in ABFT, establishing a new primitive for lower latency and superior throughput in fully asynchronous systems.

A macro perspective reveals an intricate network of glossy, metallic blue tubular structures, centrally interconnected and radiating outwards. These foundational elements, representing blockchain nodes and their protocol architecture, are partially enveloped by a dynamic, frothy white substance. This effervescent layer signifies active data integrity and the continuous flow within a distributed ledger technology framework, emphasizing secure transaction validation and robust consensus mechanisms.

→BFT Consensus Protocol

→Byzantine Fault Tolerance

→Decentralized Trust Model

Asymmetric DAG Consensus Unlocks Constant Finality with Local Trust Assumptions

By extending DAG-Rider to use asymmetric quorums, this work achieves constant-time BFT finality under realistic, locally defined trust models.

Byzantine Fault Tolerance

Two-Phase Byzantine Fault Tolerance Boosts Sharded Blockchain Performance and Security

Zero-Knowledge Proof of Training Secures Federated Learning Consensus and Privacy

Epidemic Consensus Achieves Leaderless, Extreme-Scale, Collusion-Resistant Blockchain Finality

Sparse Network Byzantine Agreement Achieves Near-Linear Fault Tolerance

Linear-Complexity Secret Sharing Unlocks Scalable Decentralized Randomness Beacons

Angelfish Consensus Unifies Leader-DAG BFT for Optimal Throughput and Latency

Set Byzantine Consensus Decouples Rollup Sequencing from Centralized Control

Set Byzantine Consensus Decentralizes Rollup Sequencing and Data Availability

Graded Broadcast Protocol Decouples Agreement Achieving Optimal Asynchronous Latency

Asymmetric DAG Consensus Unlocks Constant Finality with Local Trust Assumptions

Incrypthos

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