Formalizing Global Platform Architectures via Essential Agent Cardinality
A new mathematical framework rigorously classifies all digital platforms by quantifying the minimal set of essential agents required for system operation.
Vector-Code Commitments Unlock Transparent Logarithmic-Time Zero-Knowledge Proof Verification
A new Vector-Code Commitment scheme uses algebraic codes to create transparent, logarithmic-time verifiable proofs, radically improving ZKP scalability.
Asynchronous Consensus Achieves Low Latency through Optimistic Responsiveness
A new BFT protocol guarantees safety under full asynchrony while achieving synchronous-like speed during periods of network stability, resolving the latency-robustness trade-off.
Fast-HotStuff Achieves Two-Round BFT Consensus, Enhancing HotStuff’s Speed and Robustness
Fast-HotStuff introduces a two-round BFT mechanism that resolves HotStuff's latency and attack vulnerabilities, establishing a new, faster baseline for decentralized finality.
Asynchronous Partial Vector Agreement Enables Constant-Round Error-Free Byzantine Consensus
Introducing Asynchronous Partial Vector Agreement, a new primitive that enables information-theoretically secure Byzantine consensus with optimal constant-time round complexity.
Differential Privacy Guarantees Fair Transaction Ordering in State Machine Replication
Linking Differential Privacy to SMR's equal opportunity property eliminates algorithmic bias, enabling cryptographically fair, MEV-resistant ordering protocols.
Adaptive Byzantine Consensus via Decentralized Reinforcement Learning
A reinforcement learning engine enables BFT protocols to dynamically self-optimize, boosting throughput and establishing the first Learned Consensus paradigm.
Hybrid Synchronous Model Unlocks Optimal Low-Latency Byzantine Fault Tolerance
A new BFT protocol leverages a hybrid synchrony model to achieve up to 15x lower latency, preserving high fault tolerance for scalable decentralized systems.
Batch Zero-Knowledge BFT Achieves Scalable Private Federated Learning Consensus
Batch Zero-Knowledge Proofs are integrated into BFT consensus, cutting communication complexity to $O(n)$ and enabling scalable, private decentralized AI.
