Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2505.11648
Cited By
Joint Graph Estimation and Signal Restoration for Robust Federated Learning
16 May 2025
Tsutahiro Fukuhara
Junya Hara
Hiroshi Higashi
Yuichi Tanaka
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Joint Graph Estimation and Signal Restoration for Robust Federated Learning"
14 / 14 papers shown
Title
Federated Learning for Smart Healthcare: A Survey
Dinh C. Nguyen
Quoc-Viet Pham
P. Pathirana
Ming Ding
Aruna Seneviratne
Zihuai Lin
O. Dobre
Won Joo Hwang
FedML
83
556
0
16 Nov 2021
Federated Learning: Opportunities and Challenges
P. Mammen
FedML
116
227
0
14 Jan 2021
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang
Lingyang Chu
Zirui Zhou
Lanjun Wang
Jiangchuan Liu
J. Pei
Yong Zhang
FedML
105
615
0
07 Jul 2020
An Efficient Framework for Clustered Federated Learning
Avishek Ghosh
Jichan Chung
Dong Yin
Kannan Ramchandran
FedML
113
873
0
07 Jun 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
287
6,329
0
10 Dec 2019
Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan
V. Aggarwal
Aaditya Kumar Singh
Sunav Choudhary
FedML
99
846
0
02 Dec 2019
Robust Federated Learning with Noisy Communication
F. Ang
Li Chen
Senior Member Ieee Nan Zhao
Senior Member Ieee Yunfei Chen
Weidong Wang
Feng Yu
FedML
58
117
0
01 Nov 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Felix Sattler
K. Müller
Wojciech Samek
FedML
173
1,013
0
04 Oct 2019
Federated Learning over Wireless Fading Channels
M. Amiri
Deniz Gunduz
125
514
0
23 Jul 2019
Federated Learning via Over-the-Air Computation
Kai Yang
Tao Jiang
Yuanming Shi
Z. Ding
FedML
102
881
0
31 Dec 2018
Federated Optimization in Heterogeneous Networks
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
214
5,264
0
14 Dec 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
458
17,708
0
17 Feb 2016
How to learn a graph from smooth signals
Vassilis Kalofolias
103
516
0
11 Jan 2016
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
149
3,989
0
31 Oct 2012
1