Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions

3 July 2023

Papers citing "Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions"

6 / 6 papers shown

Title
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping Jiaxing Li Zihan Chen Kai Fong Ernest Chong Bikramjit Das Tony Q. S. Quek Howard H. Yang 21 0 0 23 Sep 2024
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection Shulai Zhang Zirui Li Quan Chen Wenli Zheng Jingwen Leng M. Guo FedML 54 32 0 08 Sep 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 85 936 0 03 Feb 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 102 595 0 27 Dec 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,014 0 29 Nov 2018
Robust Analog Function Computation via Wireless Multiple-Access Channels Mario Goldenbaum S. Stańczak 48 176 0 10 Oct 2012