Co-authored with Arash Nourian, Director at AWS AI Federated Learning (FL) is a widely popular structure that allows one to learn a Machine Learning (ML) model collaboratively. The classical structure of FL is that there are multiple clients each with their own local data, which they would possibly like to keep private, and there is […]
Tag: machine learning
Three algorithms to live by: LSTM, FedAverage, C-W
Citation We come across many algorithms in our education and work. Here I look at three relatively recent ones from the area of Machine Learning (ML), and more specifically from my vantage point of reliability and security of ML. There have been reams written on each, at various levels of technical depth. So obviously I […]
Distant Whispers from an Academic Engineer's World 