'A Framework for Improving the Reliability of Black-box Variational Inference', by Manushi Welandawe, Michael Riis Andersen, Aki Vehtari, Jonathan H. Huggins.

http://jmlr.org/papers/v25/22-0327.html

#variational #adaptively #optimization

A Framework for Improving the Reliability of Black-box Variational Inference

When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning

https://openreview.net/forum?id=v73h3bYE2Z

#federated #distributed #adaptively

When to Trust Aggregated Gradients: Addressing Negative Client...

Federated Learning has become a widely-used framework which allows learning a global model on decentralized local datasets under the condition of protecting local data privacy. However, federated...

OpenReview