March 25, 2024, 9 p.m. | Mohammad Arshad

MarkTechPost www.marktechpost.com

The proliferation of large language models (LLMs) across critical domains has highlighted the urgent need for frameworks to safeguard data privacy without sacrificing computational performance. Fully Homomorphic Encryption (FHE) emerges as a promising solution to this challenge, enabling calculations to be performed on encrypted data. However, the computational overhead associated with FHE, compounded by the […]


The post BasedAI: A Distributed Network of Machines that Introduces Decentralized Infrastructure Capable of Integrating FHE with Any LLM Connected to Its Network appeared …

ai paper summary challenge computational data data privacy decentralized distributed domains enabling encryption frameworks homomorphic encryption infrastructure language language models large language large language models llm llms machines network performance privacy security solution tech news

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