Abstract: Federated Learning (FL) is a collaborative machine learning (ML) framework that combines on-device training and server-based aggregation to train a common ML model among distributed agents.

Financial data aggregation is foundational to modern wealth management. It enables advisors to deliver holistic advice by collecting, normalizing, and enhancing data from diverse institutions to ...

Some people may have received a letter in recent weeks, offering the option to opt out of energy provided by the company selected by the Northwest Ohio Aggregation Coalition. If you got one of these ...

Q. Could you explain how the AGGREGATE function works in Excel? A. AGGREGATE is possibly the most versatile function in Excel. Think of it as an advanced version of the SUBTOTAL function that offers ...

You might be thinking, “We already have retail choice and consumer protections when it comes to electricity in Connecticut. Why do we need something else?” Yes, individuals can choose that their ...

Have you ever wished you could generate interactive websites with HTML, CSS, and JavaScript while programming in nothing but Python? Here are three frameworks that do the trick. Python has long had a ...

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...

One of the long-standing bottlenecks for researchers and data scientists is the inherent limitation of the tools they use for numerical computation. NumPy, the go-to library for numerical operations ...

Abstract: This paper proposes a new global model aggregation method based on using zero-knowledge federated learning (ZKFL). The purpose is to secure horizontal or P2P federated machine learning ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/jacs.3c14180. Figure S1: production of thermally unfolded Mb starting ...