FedDAR: Federated Domain-Aware Representation Learning

FedDAR: Federated Domain-Aware Representation Learning

8 September 2022

Na Li

Papers citing "FedDAR: Federated Domain-Aware Representation Learning"

11 / 11 papers shown

Title
Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning Bohan Liu Yang Xiao Ruimeng Ye Zinan Ling Xiaolong Ma Bo Hui 47 0 0 28 Jan 2025
Federated Representation Learning in the Under-Parameterized Regime Renpu Liu Cong Shen Jing Yang 26 4 0 07 Jun 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review Md. Shahin Ali M. Ahsan Lamia Tasnim Sadia Afrin Koushik Biswas Maruf Md. Sajjad Hossain Md Mahfuz Ahmed Ronok Hashan Md. Khairul Islam Shivakumar Raman 43 5 0 22 May 2024
FedL2P: Federated Learning to Personalize Royson Lee Minyoung Kim Da Li Xinchi Qiu Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane FedML 18 0 0 03 Oct 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 42 0 0 29 May 2023
Towards the Practical Utility of Federated Learning in the Medical Domain Seongjun Yang Hyeonji Hwang Daeyoung Kim Radhika Dua Jong-Yeup Kim Eunho Yang Edward Choi FedML OOD 21 16 0 07 Jul 2022
Enforcing fairness in private federated learning via the modified method of differential multipliers Borja Rodríguez Gálvez Filip Granqvist Rogier van Dalen M. Seigel FedML 48 52 0 17 Sep 2021
FedFair: Training Fair Models In Cross-Silo Federated Learning Lingyang Chu Lanjun Wang Yanjie Dong J. Pei Zirui Zhou Yong Zhang FedML 58 40 0 13 Sep 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 544 0 30 Mar 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,709 0 18 Mar 2020