Epidemic Consensus Protocol Unlocks Extreme-Scale Decentralization
A new consensus protocol leveraging epidemic-style communication eliminates fixed validators, achieving superior throughput and latency for extreme-scale networks.
Zero-Knowledge Proof of Training Secures Private Decentralized Federated Learning
ZKPoT consensus verifiably proves model contribution quality via zk-SNARKs, fundamentally securing private, scalable decentralized AI.
Alvara Protocol Launches ERC-7621 Standardizing Decentralized Composable Fund Baskets
The ERC-7621 standard tokenizes investment baskets into fungible ERC-20s, unlocking a new capital-efficient primitive for DeFi asset management.
Zero-Knowledge Proof of Training Secures Decentralized Federated Learning Consensus
ZKPoT uses zk-SNARKs to verify decentralized model accuracy without revealing private data, solving the efficiency-privacy trade-off in federated learning.
Visa Pilots Stablecoins for Cross-Border Liquidity and Treasury Modernization
Integrating stablecoins as a pre-funded balance for Visa Direct provides partners with instant cross-border liquidity, dramatically improving working capital efficiency and reducing counterparty risk.
BNY Mellon Explores Tokenized Deposits to Modernize Trillion-Dollar Payment Network
The bank is leveraging tokenized deposits to transform its $2.5 trillion daily payment flow, ensuring real-time, 24/7 liquidity and settlement efficiency.
Zero-Knowledge Proof of Training Secures Decentralized AI Consensus
A new Zero-Knowledge Proof of Training (ZKPoT) consensus mechanism leverages zk-SNARKs to cryptographically verify model performance, eliminating Proof-of-Stake centralization and preserving data privacy in decentralized machine learning.
Decentralized Finance Total Value Locked Hits Record $237 Billion Amidst User Contraction
The record $237B TVL signals successful institutional capital integration, yet the 22.4% user drop reveals a critical product-market fit failure at the retail layer.
Zero-Knowledge Proof of Training Secures Federated Learning Consensus
ZKPoT uses zk-SNARKs to verify model contributions privately, eliminating the trade-off between decentralized AI privacy and consensus efficiency.
