On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness

23 July 2024

Papers citing "On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness"

9 / 9 papers shown

Title
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark Wenke Huang Mang Ye Zekun Shi Guancheng Wan He Li Bo Du Qiang Yang FedML OOD 68 75 0 12 Nov 2023
On Tilted Losses in Machine Learning: Theory and Applications Tian Li Ahmad Beirami Maziar Sanjabi Virginia Smith 47 38 0 13 Sep 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 180 832 0 01 Mar 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 82 936 0 03 Feb 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring Qiong Wu Xu Chen Zhi Zhou Junshan Zhang FedML 150 183 0 14 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 169 244 0 07 Dec 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 174 1,014 0 29 Nov 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 130 1,663 0 14 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017