Zero-Knowledge Proof of Training Secures Decentralized AI Consensus and Privacy
ZKPoT uses zk-SNARKs to cryptographically validate decentralized machine learning contributions without revealing sensitive data, solving the privacy-efficiency-decentralization trilemma for federated systems.
New BFT Consensus Uses Graded Broadcast to Bypass Agreement Stage
Falcon BFT introduces Graded Broadcast and Asymmetrical Agreement to radically lower consensus latency, enabling faster finality in decentralized systems.
Composable Fairness Secures Transaction Ordering against Manipulation
A new Universally Composable framework formally defines transaction order fairness, enabling a YOSO-style protocol with constant-complexity decryption to mitigate systemic MEV.
Data Availability Encoding Becomes a Zero-Overhead Polynomial Commitment Scheme
Reusing data availability encoding as a multilinear polynomial commitment scheme drastically reduces prover work for light client succinct verification, resolving a core scalability paradox.
Scalable Zero-Knowledge Verifies Core Cryptographic Hashing Integrity
A novel ZKP methodology efficiently verifies SHA-256 computations on-chain, decoupling block integrity assurance from costly re-execution to unlock greater blockchain throughput.
Hierarchical Vector Commitment Enables Constant-Time Stateless Blockchain Verification
A new Hierarchical Polynomial Vector Commitment achieves constant-size state proofs, drastically lowering node hardware requirements and securing decentralization.
Hierarchical BFT with Aggregated Signatures Secures Resource-Constrained Edge Networks
A two-layer BFT architecture and aggregated signatures reduce consensus communication overhead from quadratic to linear, enabling secure, scalable edge computing.
Protocol Internalizes MEV via Vertically Integrated AutoFi Primitives
The new AutoFi primitive vertically integrates oracles and automation into the Layer-1 consensus, transforming external MEV into a self-captured, recurring network revenue stream.
Aggregatable Key-Evolving VRFs Secure Proof-of-Stake with Constant-Size Proofs
A-KE-VRFs unify proof aggregation and forward security for Verifiable Random Functions, radically improving PoS scalability and historical security.
