RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning

no code implementations • 1 Jun 2023 • Xingfu Yi, Rongpeng Li, Chenghui Peng, Fei Wang, Jianjun Wu, Zhifeng Zhao

The rapid development of artificial intelligence (AI) over massive applications including Internet-of-things on cellular network raises the concern of technical challenges such as privacy, heterogeneity and resource efficiency.

Federated Learning Multi-Task Learning