Federated Learning on Riemannian Manifolds

12 June 2022

Papers citing "Federated Learning on Riemannian Manifolds"

9 / 9 papers shown

Title
Riemannian Federated Learning via Averaging Gradient Stream Zhenwei Huang Wen Huang Pratik Jawanpuria Bamdev Mishra FedML 35 1 0 11 Sep 2024
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data Jiaojiao Zhang Jiang Hu Anthony Man-Cho So Mikael Johansson 42 2 0 12 Jun 2024
Riemannian coordinate descent algorithms on matrix manifolds Andi Han Pratik Jawanpuria Bamdev Mishra 48 5 0 04 Jun 2024
Riemannian Optimization for Active Mapping with Robot Teams Arash Asgharivaskasi Fritz Girke Nikolay Atanasov 34 3 0 28 Apr 2024
Federated Learning on Riemannian Manifolds with Differential Privacy Zhenwei Huang Wen Huang Pratik Jawanpuria Bamdev Mishra FedML 44 6 0 15 Apr 2024
Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reduction Yury Demidovich Grigory Malinovsky Peter Richtárik 56 2 0 11 Mar 2024
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls Saurav Prakash Jin Sima Chao Pan Eli Chien O. Milenkovic FedML 53 2 0 14 Aug 2023
Distributed Principal Component Analysis with Limited Communication Foivos Alimisis Peter Davies Bart Vandereycken Dan Alistarh 32 12 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