Abstract: Over the past few years, personalized recommendations have emerged as a fundamental component of the consumer electronics sector. The rise of decentralized federated learning has expanded ...

Abstract: Fully homomorphic encryption (FHE) provides a solution to privacy-preserving applications because of its ability to perform computations on encrypted data without exposing raw data. However, ...

At CES 2026, VicOne & DeCloak demo new joint research on why privacy and cybersecurity must converge in real-world ...

SUI has been on a tear, jumping 17% in the last 24 hours and becoming the top performer among the top 20 cryptocurrencies by ...

Sui is up 14% against the CoinDesk 20 which posted a 3.5% gain as the market hopes privacy whitepaper becomes a privacy token ...

MIAMI, FL / ACCESS Newswire / January 2, 2026 / Fhenix, a company pioneering encrypted smart contracts with fully homomorphic encryption (FHE), has unveiled Privacy Stages - the first comprehensive ...

Influencers like Mert Mumtaz, CEO of Solana infrastructure firm Helius, said it was “Privacy Szn.” And many others said ...

Zama Protocol mainnet goes live on Ethereum, enabling private DeFi via FHE. Explore what it means and when the ZAMA token listing could happen.

Explore post-quantum cryptography in federated learning for Model Context Protocol training. Learn about quantum vulnerabilities, security measures, and real-world applications.

Shiba Inu faces divided sentiment after a major downturn as investors weigh regulation, utility, and supply risks ahead of ...

Welcome to the Quantum Federated Learning (QFL) repository, which utilizes Secure Fully Homomorphic Encryption (FHE). This initiative seeks to advance privacy-preserving multimodal machine learning in ...