… a federated transfer learning framework for personalized … , a cloudedge federated learning
framework for personalized in-… architecture and federated learning to avoid uploading users’ …

… a personalized federated learning setting involving local and global models subject to user-level
(joint) differential privacy. While learning … on personalized federated learning algorithms …

Personalized federated learning (PFL), as a novel federated learning (FL) paradigm, is
capable of generating personalized models for heterogenous clients. Combined with a meta-…

… We introduce an innovative approach to personalized federated learning. Our method, based
on layer-wise Fisher information values, allows for dynamic personalization that surpasses …

… personalization strategies may be preferred. In this paper, we consider the federated
meta-learning problem of learning personalization … the batch-norm and learning rate parameters …

… We study federated learning from a multi-task learning perspective by leveraging both
shared representation and inter-client classifier collaboration. Specifically, we make use of the …

… Based on such generous observations, we propose a Personalized Federated Learning (PFL)
method from the idea of client-agnostic and client-specific initialization. Initialization is …

… As a possible solution, the existing personalized federated learning relies too much on a …
whole federation effect. In this article, we design a cognitive personalized federated learning (…

… of the transformer model in federated learning settings. To … based federated learning
framework that learns personalized … personalization mechanism that maintains personalized self-…

… A widely recognized difficulty in federated learning arises … unrelated distributions, and
personalization is, therefore, … excess risks of personalized federated learning with a smooth, …