A data-free GAN plus bidirectional knowledge distillation between global and local models improves both personalization and generalization in non-IID federated classification.
Algorithms for hyper-parameter optimization.Ad- vances in neural information processing systems, 24, 2011
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FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data
A data-free GAN plus bidirectional knowledge distillation between global and local models improves both personalization and generalization in non-IID federated classification.