Understanding Industry Structure and Competition

While going through some old documents this week, I rediscovered a set of notes I took while reading Michael Porter many years ago. On rereading the notes, I find (again) his ideas to be really simple and compelling, worthy of sharing as a mental model for both practising data scientists and a value investors. A … More Understanding Industry Structure and Competition

Towards Fair and Privacy-Preserving Federated Deep Learning Models

My former postdoc Lingjuan Lyu has been working with a few research collaborators on a fair and privacy-preserving federated deep-learning framework and a paper describing the framework has just been published at the IEEE Transactions on Parallel and Distributed Systems. Here’s the paper details: Title: Towards Fair and Privacy-Preserving Federated Deep Models Abstract: The current … More Towards Fair and Privacy-Preserving Federated Deep Learning Models