Federated Learning: Challenges, Methods, and Future Directions
Figure 1: An example of federated learning for the task of next-word prediction on mobile phones. Devices communicate with a central server periodically to learn a global model. Federated learning helps preserve user privacy and reduce strain on the network by keeping data localized. What is federated learning? How does it differ from traditional large-scale machine learning, distributed optimizat
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De-identification of Electronic Health Records using NLP
Fairness, privacy, and transparency by design in AI/ML systems
