ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.03993
  4. Cited By
Layer-wised Model Aggregation for Personalized Federated Learning

Layer-wised Model Aggregation for Personalized Federated Learning

9 May 2022
Xiaosong Ma
Jie M. Zhang
Song Guo
Wenchao Xu
    FedML
ArXivPDFHTML

Papers citing "Layer-wised Model Aggregation for Personalized Federated Learning"

24 / 74 papers shown
Title
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
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated
  Self-Supervised Visual Representation Learning
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning
Yasar Abbas Ur Rehman
Yan Gao
Pedro Gusmão
Mina Alibeigi
Jiajun Shen
Nicholas D. Lane
FedML
17
18
0
14 Jul 2023
Layer-wise Linear Mode Connectivity
Layer-wise Linear Mode Connectivity
Linara Adilova
Maksym Andriushchenko
Michael Kamp
Asja Fischer
Martin Jaggi
FedML
FAtt
MoMe
26
15
0
13 Jul 2023
G$^2$uardFL: Safeguarding Federated Learning Against Backdoor Attacks
  through Attributed Client Graph Clustering
G2^22uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering
Hao Yu
Chuan Ma
Meng Liu
Tianyu Du
Ming Ding
Tao Xiang
Shouling Ji
Xinwang Liu
AAML
FedML
19
11
0
08 Jun 2023
Learning Across Decentralized Multi-Modal Remote Sensing Archives with
  Federated Learning
Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning
Baris Büyüktas
Gencer Sumbul
Begum Demir
11
13
0
01 Jun 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized
  Federated Learning
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning
Jiahao Tan
Yipeng Zhou
Gang Liu
Jessie Hui Wang
Shui Yu
FedML
9
13
0
25 May 2023
A Survey of Federated Evaluation in Federated Learning
A Survey of Federated Evaluation in Federated Learning
Behnaz Soltani
Yipeng Zhou
Venus Haghighi
John C. S. Lui
FedML
28
12
0
14 May 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image
  Classification
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification
Hong-You Chen
Jike Zhong
Mingda Zhang
Xuhui Jia
Qi
Boqing Gong
Wei-Lun Chao
Li Zhang
FedML
25
6
0
16 Apr 2023
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous
  Federated Learning
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning
Xiucheng Wang
Nan Cheng
Longfei Ma
Ruijin Sun
Rong Chai
Ning Lu
FedML
27
11
0
10 Mar 2023
Reliable Federated Disentangling Network for Non-IID Domain Feature
Reliable Federated Disentangling Network for Non-IID Domain Feature
M. Wang
Kai-An Yu
Chun-Mei Feng
Yiming Qian
K. Zou
Lianyu Wang
Rick Siow Mong Goh
Yong-Jin Liu
H. Fu
OOD
27
1
0
30 Jan 2023
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring
  Application
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application
Liangqi Yuan
Lu Su
Ziran Wang
20
18
0
12 Jan 2023
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with
  Pre-trained Transformers
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers
Jinyu Chen
Wenchao Xu
Song Guo
Junxiao Wang
Jie M. Zhang
Haozhao Wang
FedML
15
32
0
15 Nov 2022
One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and
  Inter-Image Attention Design
One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design
Yikai Yan
Chaoyue Niu
Fan Wu
Qinya Li
Shaojie Tang
Chengfei Lyu
Guihai Chen
11
0
0
11 Nov 2022
FedTP: Federated Learning by Transformer Personalization
FedTP: Federated Learning by Transformer Personalization
Hongxia Li
Zhongyi Cai
Jingya Wang
Jiangnan Tang
Weiping Ding
Chin-Teng Lin
Ye-ling Shi
FedML
20
59
0
03 Nov 2022
Federated Learning with Intermediate Representation Regularization
Federated Learning with Intermediate Representation Regularization
Ye Lin Tun
Chu Myaet Thwal
Yu Min Park
Seong-Bae Park
C. Hong
FedML
18
6
0
28 Oct 2022
Prototype-Based Layered Federated Cross-Modal Hashing
Prototype-Based Layered Federated Cross-Modal Hashing
Jiale Liu
Yu-Wei Zhan
Xin Luo
Zhen-Duo Chen
Yongxin Wang
Xin-Shun Xu
FedML
17
2
0
27 Oct 2022
Federated Fuzzy Neural Network with Evolutionary Rule Learning
Federated Fuzzy Neural Network with Evolutionary Rule Learning
Leijie Zhang
Ye-ling Shi
Yu-Cheng Chang
Chin-Teng Lin
FedML
11
15
0
26 Oct 2022
Personalized Federated Learning with Communication Compression
Personalized Federated Learning with Communication Compression
El Houcine Bergou
Konstantin Burlachenko
Aritra Dutta
Peter Richtárik
FedML
72
9
0
12 Sep 2022
Reducing Training Time in Cross-Silo Federated Learning using Multigraph
  Topology
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology
Tuong Khanh Long Do
Binh X. Nguyen
Vuong Pham
Toan V. Tran
Erman Tjiputra
Quang-Dieu Tran
A. Nguyen
FedML
AI4CE
23
3
0
20 Jul 2022
Hypernetwork-based Personalized Federated Learning for
  Multi-Institutional CT Imaging
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging
Ziyuan Yang
Wenjun Xia
Zexin Lu
Yingyu Chen
Xiaoxia Li
Yi Zhang
FedML
OOD
13
28
0
08 Jun 2022
Federated Learning of Generative Image Priors for MRI Reconstruction
Federated Learning of Generative Image Priors for MRI Reconstruction
Gokberk Elmas
S. Dar
Yilmaz Korkmaz
Emir Ceyani
Burak Susam
Muzaffer Özbey
Salman Avestimehr
Tolga cCukur
FedML
MedIm
AI4CE
8
87
0
08 Feb 2022
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
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
784
0
15 Feb 2021
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
183
541
0
30 Mar 2020
Previous
12