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A Survey on Heterogeneous Federated Learning

A Survey on Heterogeneous Federated Learning

10 October 2022
Dashan Gao
Xin Yao
Qian Yang
    FedML
ArXivPDFHTML

Papers citing "A Survey on Heterogeneous Federated Learning"

42 / 42 papers shown
Title
Federated Out-of-Distribution Generalization: A Causal Augmentation View
Federated Out-of-Distribution Generalization: A Causal Augmentation View
Runhui Zhang
Sijin Zhou
Zhuang Qi
OOD
FedML
73
1
0
28 Apr 2025
Global Intervention and Distillation for Federated Out-of-Distribution Generalization
Global Intervention and Distillation for Federated Out-of-Distribution Generalization
Zhuang Qi
Runhui Zhang
Lei Meng
Wei Wu
Yachong Zhang
X. Meng
FedML
68
1
0
01 Apr 2025
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation
Xinge Ma
Jin Wang
Xuejie Zhang
FedML
65
0
0
08 Mar 2025
Conditioning on Local Statistics for Scalable Heterogeneous Federated Learning
Rickard Brännvall
FedML
27
0
0
01 Mar 2025
Entangled Mean Estimation in High-Dimensions
Entangled Mean Estimation in High-Dimensions
Ilias Diakonikolas
D. Kane
Sihan Liu
Thanasis Pittas
33
1
0
10 Jan 2025
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning
  for Edge Devices
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
Yongzhe Jia
Xuyun Zhang
Hongsheng Hu
K. Choo
Lianyong Qi
Xiaolong Xu
Amin Beheshti
Wanchun Dou
MoMe
FedML
81
0
0
08 Dec 2024
Federated Learning for Discrete Optimal Transport with Large Population
  under Incomplete Information
Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information
Navpreet Kaur
Juntao Chen
Yingdong Lu
OT
FedML
26
0
0
12 Nov 2024
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge
  Distillation
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation
Huidong Tang
Chen Li
Huachong Yu
Sayaka Kamei
Yasuhiko Morimoto
FedML
18
0
0
29 Sep 2024
Federated Large Language Models: Current Progress and Future Directions
Federated Large Language Models: Current Progress and Future Directions
Yuhang Yao
Jianyi Zhang
Junda Wu
Chengkai Huang
Yu Xia
...
Ang Li
Lina Yao
Julian McAuley
Yiran Chen
Carlee Joe-Wong
FedML
AIFin
61
8
0
24 Sep 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
27
0
0
29 Jul 2024
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain
  Adaptation
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation
Eduardo Fernandes Montesuma
F. E. Castellon
Fred-Maurice Ngole-Mboula
Aurélien Mayoue
Antoine Souloumiac
Cédric Gouy-Pailler
30
1
0
16 Jul 2024
Cross-Training with Multi-View Knowledge Fusion for Heterogenous
  Federated Learning
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning
Zhuang Qi
Lei Meng
Weihao He
Ruohan Zhang
Yu Wang
Xin Qi
Xiangxu Meng
FedML
28
4
0
30 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Chun-Yin Huang
Kartik Srinivas
Xin Zhang
Xiaoxiao Li
DD
48
6
0
19 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
36
2
0
16 May 2024
Navigating the Future of Federated Recommendation Systems with Foundation Models
Navigating the Future of Federated Recommendation Systems with Foundation Models
Zhiwei Li
Guodong Long
Chunxu Zhang
Honglei Zhang
Jing Jiang
Chengqi Zhang
105
0
0
12 May 2024
Open Challenges and Opportunities in Federated Foundation Models Towards
  Biomedical Healthcare
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare
Xingyu Li
Lu Peng
Yuping Wang
Weihua Zhang
AI4CE
MedIm
LM&MA
66
5
0
10 May 2024
Federated Graph Condensation with Information Bottleneck Principles
Federated Graph Condensation with Information Bottleneck Principles
Bo Yan
DD
FedML
37
4
0
07 May 2024
FedP3: Federated Personalized and Privacy-friendly Network Pruning under
  Model Heterogeneity
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
Kai Yi
Nidham Gazagnadou
Peter Richtárik
Lingjuan Lyu
69
11
0
15 Apr 2024
MAPL: Model Agnostic Peer-to-peer Learning
MAPL: Model Agnostic Peer-to-peer Learning
Sayak Mukherjee
Andrea Simonetto
Hadi Jamali Rad
22
0
0
28 Mar 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local
  Parameter Sharing
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
Yongzhe Jia
Xuyun Zhang
Amin Beheshti
Wanchun Dou
FedML
19
5
0
13 Feb 2024
Evaluating Multi-Global Server Architecture for Federated Learning
Evaluating Multi-Global Server Architecture for Federated Learning
Asfia Kawnine
Hung Cao
Atah Nuh Mih
Monica Wachowicz
8
0
0
26 Nov 2023
DiLoCo: Distributed Low-Communication Training of Language Models
DiLoCo: Distributed Low-Communication Training of Language Models
Arthur Douillard
Qixuang Feng
Andrei A. Rusu
Rachita Chhaparia
Yani Donchev
A. Kuncoro
MarcÁurelio Ranzato
Arthur Szlam
Jiajun Shen
56
31
0
14 Nov 2023
An effective theory of collective deep learning
An effective theory of collective deep learning
Lluís Arola-Fernández
Lucas Lacasa
FedML
AI4CE
11
2
0
19 Oct 2023
Multimodal Federated Learning in Healthcare: a Review
Multimodal Federated Learning in Healthcare: a Review
Jacob Thrasher
Alina Devkota
Prasiddha Siwakotai
Rohit Chivukula
Pranav Poudel
Chaunbo Hu
Binod Bhattarai
P. Gyawali
26
7
0
14 Oct 2023
Heterogeneous Federated Learning via Personalized Generative Networks
Heterogeneous Federated Learning via Personalized Generative Networks
Zahra Taghiyarrenani
Abdallah S. Abdallah
Sławomir Nowaczyk
Sepideh Pashami
FedML
19
0
0
25 Aug 2023
Internal Cross-layer Gradients for Extending Homogeneity to
  Heterogeneity in Federated Learning
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
Yun-Hin Chan
Rui Zhou
Running Zhao
Zhihan Jiang
Edith C. H. Ngai
FedML
20
8
0
22 Aug 2023
Aggregating Intrinsic Information to Enhance BCI Performance through
  Federated Learning
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning
Rui Liu
Yuanyuan Chen
Anran Li
Y. Ding
Han Yu
Cuntai Guan
FedML
27
7
0
14 Aug 2023
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID
  Data
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data
Zhuang Qi
Lei Meng
Zitan Chen
Han Hu
Hui Lin
Xiangxu Meng
FedML
13
18
0
07 Aug 2023
UPFL: Unsupervised Personalized Federated Learning towards New Clients
UPFL: Unsupervised Personalized Federated Learning towards New Clients
Tiandi Ye
Cen Chen
Yinggui Wang
Xiang Li
Ming Gao
FedML
15
3
0
29 Jul 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
29
244
0
20 Jul 2023
FedYolo: Augmenting Federated Learning with Pretrained Transformers
FedYolo: Augmenting Federated Learning with Pretrained Transformers
Xuechen Zhang
Mingchen Li
Xiangyu Chang
Jiasi Chen
A. Roy-Chowdhury
A. Suresh
Samet Oymak
FedML
18
7
0
10 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Shiyu Liu
Shaogao Lv
Dun Zeng
Zenglin Xu
Hongya Wang
Yue Yu
FedML
18
3
0
05 Jul 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
C. L. P. Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
86
85
0
27 Jun 2023
FedMe: Federated Learning via Model Exchange
FedMe: Federated Learning via Model Exchange
Koji Matsuda
Yuya Sasaki
Chuan Xiao
Makoto Onizuka
FedML
37
19
0
15 Oct 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu
Youyang Qu
Yong Xiang
Longxiang Gao
FedML
89
237
0
09 Sep 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
183
840
0
01 Mar 2021
FedAR: Activity and Resource-Aware Federated Learning Model for
  Distributed Mobile Robots
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots
Ahmed Imteaj
M. Amini
73
51
0
11 Jan 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home
  Health Monitoring
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring
Qiong Wu
Xu Chen
Zhi Zhou
Junshan Zhang
FedML
150
269
0
14 Dec 2020
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view
  Training
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training
Yan Kang
Yang Liu
Xinle Liang
FedML
60
50
0
25 Aug 2020
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
183
541
0
30 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
157
758
0
28 Sep 2019
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
187
473
0
12 Jun 2018
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