Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process

Haolin Yu, Kaiyang Guo, Mahdi Karami +3

In typical scenarios where the Federated Learning (FL) framework applies, it is common for clients to have insufficient training data to produce an accurate model. Thus, models tha…