Instance-wise Bayesian prompt tuning with an implicit posterior gives consistent ~1% average accuracy gains over federated prompt baselines on DomainNet and CIFAR-100.
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Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning
Instance-wise Bayesian prompt tuning with an implicit posterior gives consistent ~1% average accuracy gains over federated prompt baselines on DomainNet and CIFAR-100.