DRDFL splits each client model into a private Gaussian-mixture encoder and a shared adversarially trained encoder, reporting better personalization and generalization in ring-topology decentralized federated learning.
Personalized federated domain-incremental learning based on adaptive knowledge matching,
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Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning
DRDFL splits each client model into a private Gaussian-mixture encoder and a shared adversarially trained encoder, reporting better personalization and generalization in ring-topology decentralized federated learning.