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"

7 / 7 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 32 0 0 23 Sep 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
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 59 32 0 08 Sep 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 87 946 0 03 Feb 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 111 611 0 27 Dec 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 182 1,032 0 29 Nov 2018
Robust Analog Function Computation via Wireless Multiple-Access Channels Mario Goldenbaum S. Stańczak 52 176 0 10 Oct 2012