So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
Abstract: To support secure data mining and privacy-preserving computation, partial access and selective computation on encrypted data are desirable. Functional encryption (FE) is a new paradigm of ...
Abstract: The emergence of quantum computing poses significant risks to the security of current cryptographic systems, particularly those reliant on classical algorithms vulnerable to quantum attacks.
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