Jennifer Gillenwater

Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms

2020 · arXiv (Cornell University)

Federated learning is typically approached as an optimization problem, where the goal is to minimize a global loss function by distributing computation across client devices that possess local data and specify different parts of the …