Fedcp: Separating feature information for personalized federated learning via conditional policy

J Zhang, Y Hua, H Wang, T Song, Z Xue, R Ma… - Proceedings of the 29th …, 2023 - dl.acm.org
… To meet the personalized demand of each client and address the challenge of statistical … in
FL, personalized federated learning (pFL) comes along that focuses on learning personalized

Flexifed: Personalized federated learning for edge clients with heterogeneous model architectures

K Wang, Q He, F Chen, C Chen, F Huang… - Proceedings of the …, 2023 - dl.acm.org
… solutions to personalized federated learning. Clustering-based federated learning methods
[4… and personalize model parameters for individual clusters of clients. Another approach is to …

RETRACTED: Personalized federated learning framework for network traffic anomaly detection

J Pei, K Zhong, MA Jan, J Li - 2022 - Elsevier
… Keywords: Personalized federated learning Anomaly … In this study, we proposed a
personalized federated anomaly … of privacy protection and relatively personalized models are …

Personalized federated learning for individual consumer load forecasting

Y Wang, N Gao, G Hug - CSEE Journal of Power and Energy …, 2022 - ieeexplore.ieee.org
… use personalized federated learningpersonalized federated learning approach for individual
consumer load forecasting. In the first phase, a group of consumers jointly train a federated

How to prevent the poor performance clients for personalized federated learning?

Z Qu, X Li, X Han, R Duan, C Shen… - Proceedings of the …, 2023 - openaccess.thecvf.com
… To address this problem, personalized federated learning (… learning process [41, 47] or
enhancing the personalization [3… fall into poor learning performance, where the personalization of …

Privacy-preserving personalized federated learning

R Hu, Y Guo, H Li, Q Pei, Y Gong - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
… , federated learning does not provide a rigorous privacy guarantee for participants. The server
in federated learning is … , we propose a novel federated learning scheme that provides an …

Achieving personalized federated learning with sparse local models

T Huang, S Liu, L Shen, F He, W Lin, D Tao - arXiv preprint arXiv …, 2022 - arxiv.org
… In this work, we propose federated learning with personalized sparse mask (FedSpa), a
novel PFL scheme that employs personalized sparse masks to customize sparse local models …

Multi-center federated learning: clients clustering for better personalization

G Long, M Xie, T Shen, T Zhou, X Wang, J Jiang - World Wide Web, 2023 - Springer
… -based model aggregation mechanism to enhance the personalized federated learning. …
The reason is that our experiment using the original federated learning setting that only split the …

Federated reconstruction: Partially local federated learning

K Singhal, H Sidahmed, Z Garrett… - Advances in …, 2021 - proceedings.neurips.cc
Personalization methods in federated learning aim to balance the benefits of federated and
local training for data availability, communication cost, and robustness to client heterogeneity…

Visual prompt based personalized federated learning

G Li, W Wu, Y Sun, L Shen, B Wu, D Tao - arXiv preprint arXiv:2303.08678, 2023 - arxiv.org
… named pFedPT, a personalized federated learning method based on visual prompts. We
make the first attempt to introduce visual prompts to personalized federated learning, using a …