H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning

1 June 2021

Papers citing "H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning"

7 / 7 papers shown

Title
Personalized Federated Learning with Hidden Information on Personalized Prior Mingjia Shi Yuhao Zhou Qing Ye Jiancheng Lv FedML 29 3 0 19 Nov 2022
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning Nang Hung Nguyen Phi Le Nguyen D. Nguyen Trung Thanh Nguyen Thuy-Dung Nguyen H. Pham Truong Thao Nguyen FedML 67 24 0 04 Aug 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 19 51 0 14 Jul 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions Rui Zhang Song Guo Junxiao Wang Xin Xie Dacheng Tao 35 36 0 15 Jun 2022
A Fair Federated Learning Framework With Reinforcement Learning Yaqi Sun Shijing Si Jianzong Wang Yuhan Dong Z. Zhu Jing Xiao FedML 15 7 0 26 May 2022
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets Federico Lucchetti Jérémie Decouchant Maria Fernandes L. Chen Marcus Volp FedML 19 0 0 23 Apr 2022
FedCAT: Towards Accurate Federated Learning via Device Concatenation Ming Hu Tian Liu Zhiwei Ling Zhihao Yue Mingsong Chen FedML 24 1 0 23 Feb 2022