FLAIM: AIM-based Synthetic Data Generation in the Federated Setting

5 October 2023

Papers citing "FLAIM: AIM-based Synthetic Data Generation in the Federated Setting"

4 / 4 papers shown

Title
Papaya: Practical, Private, and Scalable Federated Learning Dzmitry Huba John Nguyen Kshitiz Malik Ruiyu Zhu Michael G. Rabbat ... H. Srinivas Kaikai Wang Anthony Shoumikhin Jesik Min Mani Malek FedML 97 133 0 08 Nov 2021
Practical and Private (Deep) Learning without Sampling or Shuffling Peter Kairouz Brendan McMahan Shuang Song Om Thakkar Abhradeep Thakurta Zheng Xu FedML 170 193 0 26 Feb 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
Fidelity and Privacy of Synthetic Medical Data O. Mendelevitch M. Lesh 25 29 0 18 Jan 2021