Federated Learning
topic on 4 shows · 4 statements across 4 episodes
the Y Combinator Startup Podcast 
BG2 Pod 
No Priors 
Big Technology
4 statements about Federated Learning, every show
George: Practical federated learning for IT AI remains a long way off
“Over time as well, I think we'll get to a world where federated learning is also an option. But obviously as you think about federated learning, where you're learning from one set of experiences and transcribing that to another environment you've got to also m…”
Huang: Asynchronous distributed computing and federated learning will be invented for AI
“My sense is that distributed training will have to work. And my sense is that, that distributed computing will be invented. And some form of federated learning and distributed, you know asynchronous distributed computing is going to be discovered.”
Singhal: Federated learning won't drive biggest near-term healthcare AI advances
“But I think there are like real world obstacles to doing federally learning on health data, which actually kind of increased activation energy to the point where in the next few years, I doubt that like the biggest advances are going to come. From using federa…”
Hwang: Google is researching federated learning for on-device ML training
“So we're actually working on a little bit of research around that. I haven't played around with it myself, but for example, there's a couple of papers around what they call federated learning, where we're just exactly working on this premise, which is the bet …”