Daniel Peterson

Private Federated Learning with Domain Adaptation

2019 · arXiv (Cornell University)

Federated Learning (FL) is a distributed machine learning (ML) paradigm that enables multiple parties to jointly re-train a shared model without sharing their data with any other parties, offering advantages in both scale and privacy. …