This work investigates the problem of direct data-driven control (DDC) for linear systems under stochastic sensor/actuator faults. A fault model obeying Markov chain is firstly constructed to capture ...
Abstract: The emergence of large language models (LLMs) calls for efficient distributed training approaches for machine learning models. In the traditional PS (Parameter Server)-based distributed LLM ...