… 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 …

… solutions to personalized federated learning. Clustering-based federated learning methods
[4… and personalize model parameters for individual clusters of clients. Another approach is to …

… Keywords: Personalized federated learning Anomaly … In this study, we proposed a
personalized federated anomaly … of privacy protection and relatively personalized models are …

… use personalized federated learning … personalized federated learning approach for individual
consumer load forecasting. In the first phase, a group of consumers jointly train a federated …

… 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 …

… , 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 …

… 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 …

… -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 …

… 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…

… 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 …