… 3 Personalized Federated Learning Problem In this section, we introduce the personalized
federated learning problem that aims to collaboratively train personalized models for a set of …

… Think locally, act globally: Federated learning with local and global representations. In
nternational Workshop on Feder-ated Learning for User Privacy and Data Confidentiality …

… clients by learning dedicated tailored … personalized federated learning framework in a
decentralized (peer-to-peer) communication protocol named DisPFL, which employs personalized …

In Federated Learning (FL), the clients learn a single global model (FedAvg) through a central
aggregator. In this setting, the non-IID distribution of the data across clients restricts the …

… In this section, we discuss related work from the perspectives of both general federated
learning and personalized federated learning. We also provide more detailed comparisons with …

… and personalized federated learning, this research contributes to the advancement of
federated learning … and effectiveness of collaborative machine learning in distributed systems. …

… of personalization. We proposed SuPerFed, a personalized federated learning method that
induces an explicit connection between the optima of the local and the federated model in …

… robust, personalized federated learning, called Fed+, that unifies many federated learning …
accommodate the real-world characteristics found in federated training, such as the lack of IID …

… In a personalized federated learning scenario compatible with heterogeneous model
architectures, we assume that the model architectures of different clients can be different, that is …

… personalized federated learning and transfer learning, in this paper, we propose a novel
federated … ) framework to learn personalized models in the federated learning system. The key …