Architectures and Algorithms for Privacy-Preserving Federated Learning at Scale on Heterogeneous Edge Networks
The Federated Learning Paradigm and its Scaling Imperative 1.1. Introduction to the FL Principle: Moving Computation to the Data The traditional paradigm of machine learning has long been predicated on Read More …