Abstract: With the rapid development of the data trading market, traditional fixed pricing strategies can no longer effectively reflect the real value of data products, thereby restricting the ...
Abstract: Federated Learning (FL) is a distributed machine learning framework that allows multiple clients to collaboratively train an intermediate model with keeping data local, however, sensitive ...
The Military Learning for Credit Act of 2025 helps vets turn military training into degree credit, expanding GI Bill use for prior learning and skills assessments.