Federated Learning on Riemannian Manifolds with Differential Privacy

Federated Learning on Riemannian Manifolds with Differential Privacy

15 April 2024

Zhenwei Huang

Wen Huang

Pratik Jawanpuria

Papers citing "Federated Learning on Riemannian Manifolds with Differential Privacy"

6 / 6 papers shown

Title
Riemannian Federated Learning via Averaging Gradient Stream Zhenwei Huang Wen Huang Pratik Jawanpuria Bamdev Mishra FedML 19 0 0 11 Sep 2024
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data Jiaojiao Zhang Jiang Hu Anthony Man-Cho So Mikael Johansson 32 2 0 12 Jun 2024
Riemannian coordinate descent algorithms on matrix manifolds Andi Han Pratik Jawanpuria Bamdev Mishra 30 3 0 04 Jun 2024
Gaussian Differential Privacy on Riemannian Manifolds Yangdi Jiang Xiaotian Chang Yi Liu Lei Ding Linglong Kong Bei Jiang 20 6 0 09 Nov 2023
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 161 645 0 27 Oct 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients A. Mitra Rayana H. Jaafar George J. Pappas Hamed Hassani FedML 55 157 0 14 Feb 2021