generic framework to perform federated learning with a bi-level optimization
Adaptive Federated Optimization
Federated learning is a distributed machine learning paradigm in which a large number of clients coordinate with a central server to learn a model without sharing their own training data. Standard...
https://arxiv.org/abs/2003.00295


Seonglae Cho