Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2310.01973
Cited By
Federated Wasserstein Distance
3 October 2023
Alain Rakotomamonjy
Kimia Nadjahi
L. Ralaivola
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Federated Wasserstein Distance"
8 / 8 papers shown
Title
Personalized Federated Learning under Model Dissimilarity Constraints
Samuel Erickson
Mikael Johansson
FedML
260
0
0
12 May 2025
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
G. Huguet
D. S. Magruder
Alexander Tong
O. Fasina
Manik Kuchroo
Guy Wolf
Smita Krishnaswamy
OT
DRL
100
64
0
29 Jun 2022
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
273
419
0
14 Jul 2021
Geometric Dataset Distances via Optimal Transport
David Alvarez-Melis
Nicolò Fusi
OT
125
204
0
07 Feb 2020
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
259
6,261
0
10 Dec 2019
Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan
V. Aggarwal
Aaditya Kumar Singh
Sunav Choudhary
FedML
92
840
0
02 Dec 2019
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,486
0
17 Feb 2016
A Tutorial on Spectral Clustering
U. V. Luxburg
290
10,537
0
01 Nov 2007
1