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Enhancing Heterogeneous Federated Learning with Knowledge Extraction and
  Multi-Model Fusion

Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion

16 August 2022
Duy Phuong Nguyen
Sixing Yu
J. P. Muñoz
Ali Jannesari
    FedML
ArXivPDFHTML

Papers citing "Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion"

12 / 12 papers shown
Title
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics,
  Methods, Frameworks and Future Directions
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
Daniel Gutiérrez
David Solans
Mikko A. Heikkilä
A. Vitaletti
Nicolas Kourtellis
Aris Anagnostopoulos
I. Chatzigiannakis
OOD
84
0
0
19 Nov 2024
Federated Model Heterogeneous Matryoshka Representation Learning
Federated Model Heterogeneous Matryoshka Representation Learning
Liping Yi
Han Yu
Chao Ren
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
FedML
43
8
0
01 Jun 2024
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in
  Heterogeneous Federated Learning
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning
Liping Yi
Han Yu
Chao Ren
Heng-Ming Zhang
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
35
2
0
27 Apr 2024
Federated Distillation: A Survey
Federated Distillation: A Survey
Lin Li
Jianping Gou
Baosheng Yu
Lan Du
Zhang Yiand Dacheng Tao
DD
FedML
51
4
0
02 Apr 2024
Training Machine Learning models at the Edge: A Survey
Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas
Mohamed Reda Bouadjenek
Hakim Hacid
Sunil Aryal
29
9
0
05 Mar 2024
pFedMoE: Data-Level Personalization with Mixture of Experts for
  Model-Heterogeneous Personalized Federated Learning
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning
Liping Yi
Han Yu
Chao Ren
Heng-Ming Zhang
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
MoE
24
8
0
02 Feb 2024
Federated Foundation Models: Privacy-Preserving and Collaborative
  Learning for Large Models
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
Sixing Yu
J. P. Muñoz
Ali Jannesari
AI4CE
19
46
0
19 May 2023
Knowledge Distillation in Federated Edge Learning: A Survey
Knowledge Distillation in Federated Edge Learning: A Survey
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Xue Jiang
Runhan Li
Bo Gao
FedML
27
4
0
14 Jan 2023
Federated Evaluation and Tuning for On-Device Personalization: System
  Design & Applications
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
Matthias Paulik
M. Seigel
Henry Mason
Dominic Telaar
Joris Kluivers
...
Dominic Hughes
O. Javidbakht
Fei Dong
Rehan Rishi
Stanley Hung
FedML
175
126
0
16 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
87
945
0
03 Feb 2021
Survey of Personalization Techniques for Federated Learning
Survey of Personalization Techniques for Federated Learning
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
FedML
171
324
0
19 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
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