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Multi-level Personalized Federated Learning on Heterogeneous and
  Long-Tailed Data

Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data

10 May 2024
Rongyu Zhang
Yun Chen
Chenrui Wu
Fangxin Wang
Boyan Li
ArXiv (abs)PDFHTMLGithub

Papers citing "Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data"

9 / 9 papers shown
APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares
APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares
Kejia Fan
Jianheng Tang
Zhirui Yang
Feijiang Han
Jiaxu Li
...
Yajiang Huang
Anfeng Liu
Houbing Herbert Song
Yunhuai Liu
Huiping Zhuang
188
1
0
14 Aug 2025
FedHiP: Heterogeneity-Invariant Personalized Federated Learning Through Closed-Form Solutions
FedHiP: Heterogeneity-Invariant Personalized Federated Learning Through Closed-Form Solutions
Jianheng Tang
Zhirui Yang
Jingchao Wang
Kejia Fan
Jinfeng Xu
Huiping Zhuang
Anfeng Liu
Houbing Herbert Song
Leye Wang
Yunhuai Liu
192
0
0
06 Aug 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Yu Qiao
Huy Q. Le
Avi Deb Raha
Phuong-Nam Tran
Apurba Adhikary
Mengchun Zhang
Loc X. Nguyen
Eui-nam Huh
Zhu Han
Choong Seon Hong
AI4CE
461
7
0
11 May 2025
MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation
MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation
Rongyu Zhang
Menghang Dong
Yuan Zhang
Liang Heng
Yatian Wang
Gaole Dai
Li Du
Dan Wang
Yuan Du
MoE
501
54
0
26 Mar 2025
Central limit theorems for vector-valued composite functionals with
  smoothing and applications
Central limit theorems for vector-valued composite functionals with smoothing and applicationsAnnals of the Institute of Statistical Mathematics (AISM), 2024
Huhui Chen
Darinka Dentcheva
Yang Lin
Gregory J. Stock
392
5
0
26 Dec 2024
FedTSA: A Cluster-based Two-Stage Aggregation Method for
  Model-heterogeneous Federated Learning
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning
Boyu Fan
Chenrui Wu
Xiang Su
Pan Hui
FedML
384
3
0
06 Jul 2024
Decoupling General and Personalized Knowledge in Federated Learning via
  Additive and Low-Rank Decomposition
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition
Xinghao Wu
Xuefeng Liu
Jianwei Niu
Haolin Wang
Shaojie Tang
Guogang Zhu
Hao Su
FedML
234
20
0
28 Jun 2024
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for
  Continual Test Time Adaptation
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
Rongyu Zhang
Aosong Cheng
Yulin Luo
Gaole Dai
Huanrui Yang
...
Ran Xu
Li Du
Yuan Du
Yanbing Jiang
Shanghang Zhang
MoETTA
265
10
0
26 May 2024
FediOS: Decoupling Orthogonal Subspaces for Personalization in
  Feature-skew Federated Learning
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning
Lingzhi Gao
Zexi Li
Yang Lu
Chao Wu
332
9
0
30 Nov 2023
1
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