3 天前 - … To solve these problems, this paper proposes a personalized federated learning
household load prediction framework (PF-Holo), which allows personal models to learn …

3 天前 - … a federated averaging method with a model-agnostic meta-learning algorithm.
The … of individual clients, enabling personalized federation learning. While this technique …

3 天前 - … of federated learning with the flexibility of Moodle to provide personalized feedback
and adaptive learning … is applied over the federated learning network for the classification of …

4 天前 - … To address this issue, personalized federated learning (PFL) has been developed
as … combines personalized needs and FL concepts, aiming to customize machine learning …

5 天前 - … In this paper, we propose a novel lightweight cohorted federated learning algorithm,
… specialized or personalized models. The lightweight cohorted federated learning algorithm …

5 天前 - … and establish more personalized models, we propose a Federated Distributed
DDPG-… Federated Learning (FL), as a novel distributed machine learning approach, conducts …

5 天前 - … personalized federated learning is the personalization of the global model. In this
paper, we mainly focus on personalized federated learning … personalized federated learning …

6 天前 - … big data privacy challenges, federated learning (FL) has … clients to form a data
federation, where a coordinator (ie, a … of model parameters within the federation, without the risk …

6 天前 - … of generative AI in federated learning, revealing various … Generating synthetic data
helps federated learning address … AI in federated learning that enable more personalized …

6 天前 - … In personalized federated learning (PFL), it is widely … of generalization and
personalization at different stages. A … achieve generalization and personalization. However, the …