no code implementations • 1 Feb 2024 • Qilong Yan, Yufeng Zhang, Jinghao Zhang, Jingpu Duan, Jian Yin
This could lead the meta-learner to face complex tasks too soon, hindering proper learning.
no code implementations • 20 Oct 2023 • Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
Federated Learning (FL) is a distributed learning paradigm that can coordinate heterogeneous edge devices to perform model training without sharing private data.