no code implementations • 28 May 2024 • Omar Erak, Omar Alhussein, Shimaa Naser, Nouf Alabbasi, De Mi, Sami Muhaidat
Our framework mitigates this by utilizing the generative capabilities of LLMs to automate the curriculum design process, significantly reducing human effort while improving the RL agent's convergence and performance.
no code implementations • 6 Sep 2023 • Omar Alhussein, Moshi Wei, Arashmid Akhavain
Split learning is a privacy-preserving distributed learning paradigm in which an ML model (e. g., a neural network) is split into two parts (i. e., an encoder and a decoder).