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Found 3 papers, 0 papers with code
Bayesian Neural Network For Personalized Federated Learning Parameter Selection
Federated learning's poor performance in the presence of heterogeneous data remains one of the most pressing issues in the field.
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune
Performance degradation owing to data heterogeneity and low output interpretability are the most significant challenges faced by federated learning in practical applications.
Out of Distribution (OOD) Detection
Personalized Federated Learning
Deep Leakage from Model in Federated Learning
In this paper, we present two novel frameworks to demonstrate that transmitting model weights is also likely to leak private local data of clients, i. e., (DLM and DLM+), under the FL scenario.
