Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2006.10937
Cited By
FedFMC: Sequential Efficient Federated Learning on Non-iid Data
19 June 2020
Kavya Kopparapu
Eric Lin
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"FedFMC: Sequential Efficient Federated Learning on Non-iid Data"
16 / 16 papers shown
Title
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
Junki Mori
Kosuke Kihara
Taiki Miyagawa
Akinori F. Ebihara
Isamu Teranishi
Hisashi Kashima
85
1
0
18 Dec 2024
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks
Atefe Hassani
I. Rekik
FedML
43
0
0
29 Jul 2024
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition
Yuxuan Yan
Qianqian Yang
Shunpu Tang
Zhiguo Shi
38
14
0
29 Apr 2024
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
Michael Duchesne
Kaiwen Zhang
Talhi Chamseddine
FedML
34
0
0
20 Apr 2024
FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning
Yousef Alsenani
Rahul Mishra
Khaled R. Ahmed
Atta Ur Rahman
FedML
33
1
0
14 Feb 2024
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
Riccardo Zaccone
Carlo Masone
Marco Ciccone
FedML
35
2
0
30 Nov 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
39
248
0
20 Jul 2023
Federated Domain Generalization: A Survey
Ying Li
Xingwei Wang
Rongfei Zeng
Praveen Kumar Donta
Ilir Murturi
Min Huang
Schahram Dustdar
OOD
FedML
AI4CE
42
29
0
02 Jun 2023
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare
Yiqiang Chen
Wang Lu
Xin Qin
Jindong Wang
Xing Xie
FedML
41
58
0
17 Jun 2022
FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data
Mike He Zhu
Léna Néhale Ezzine
Dianbo Liu
Yoshua Bengio
OOD
FedML
23
4
0
19 May 2022
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets
Federico Lucchetti
Jérémie Decouchant
Maria Fernandes
L. Chen
Marcus Volp
FedML
19
0
0
23 Apr 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients
Riccardo Zaccone
Andrea Rizzardi
Debora Caldarola
Marco Ciccone
Barbara Caputo
FedML
58
14
0
26 Jan 2022
Data privacy protection in microscopic image analysis for material data mining
Boyuan Ma
Xiang Yin
Xiaojuan Ban
Haiyou Huang
Neng Zhang
Hao Wang
Weihua Xue
11
0
0
09 Nov 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
Joost Verbraeken
M. Vos
J. Pouwelse
31
4
0
21 Oct 2021
Federated Learning on Non-IID Data: A Survey
Hangyu Zhu
Jinjin Xu
Shiqing Liu
Yaochu Jin
OOD
FedML
34
768
0
12 Jun 2021
Privacy and Trust Redefined in Federated Machine Learning
Pavlos Papadopoulos
Will Abramson
A. Hall
Nikolaos Pitropakis
William J. Buchanan
33
42
0
29 Mar 2021
1