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FedFMC: Sequential Efficient Federated Learning on Non-iid Data

FedFMC: Sequential Efficient Federated Learning on Non-iid Data

19 June 2020
Kavya Kopparapu
Eric Lin
    FedML
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
26
4
0
19 May 2022
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets
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
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
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
13
0
0
09 Nov 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d.
  Environments
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
Federated Learning on Non-IID Data: A Survey
Hangyu Zhu
Jinjin Xu
Shiqing Liu
Yaochu Jin
OOD
FedML
39
769
0
12 Jun 2021
Privacy and Trust Redefined in Federated Machine Learning
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
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