Abstract: This paper presents a traffic prediction method for satellite optical networks using asynchronous federated learning, enhancing model convergence, reducing communication burden, and ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...

Implement 钉钉OAuth integration for user authentication, JWT token management, user session handling, and authorization middleware. This task provides secure authentication through DingTalk's OAuth ...

Abstract: Aperiodic spike noise signals generated by pulse–frequency modulation (PFM)-controlled direct-current (DC)–DC converters introduce random jitter into the switching timing, rendering it ...