Federated learning is an ML technique that enables building of models without the need to store comprehensive personal data to address privacy and security concerns. It has many potential applications and holds great promise, so to understand its workings and its current drawbacks and what still needs to be done is key.

Google Scholar and The Yuan’s youngest contributor, Satvik Tripathi, looks at the role of artificial intelligence in developing new drugs and how it helps in tackling diseases that were once thought to be too difficult to take on.