Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT

5 March 2023

Papers citing "Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT"

5 / 5 papers shown

Title
Backdoor Threats from Compromised Foundation Models to Federated Learning Xi Li Songhe Wang Chen Henry Wu Hao Zhou Jiaqi Wang 92 10 0 31 Oct 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants Zhipeng Sun Yang Xu Hong-Ze Xu Liusheng Huang C. Qiao FedML 11 0 0 29 Jul 2023
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training Shenglai Zeng Zonghang Li Hongfang Yu Yihong He Zenglin Xu Dusit Niyato Han Yu FedML 41 19 0 31 Jan 2022
FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning Jieming Bian Zhu Fu Jie Xu FedML 19 13 0 15 Oct 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 252 11,677 0 09 Mar 2017