
Neural Augmentation for Wireless Communication with Max Welling - #398
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
00:00
Federated Learning and Data Privacy
This chapter explores federated learning, emphasizing local data processing to enhance privacy while training algorithms. It discusses the challenges and future implications of this approach, including the use of homomorphic encryption and the trade-offs between privacy and computational efficiency.
Transcript
Play full episode