DAF leaders announced the finalists of the 2025 Spark Tank competition made up of premier innovation ideas by Airmen and Guardians seeking sponsorship to bring their concepts to life. …

2023年8月30日 · Abstract: Federated Learning (FL) is a machine learning technique that enables multiple local clients holding individual datasets to collaboratively train a model, without …

2024年12月10日 · Tech. Sgt. Nick Z. Erwin, Secretary of the Air Force Public Affairs Dec 10, 2024

The Air Force Research Laboratory (AFRL) is a scientific research and development detachment of the United States Air Force Materiel Command dedicated to leading the discovery, …

AFRL employs approximately 11,500 military, civilian and contractor personnel, and manages a $7 billion portfolio of investments. The lab supports external customers and partners with …

AFRL leads the discovery, development and delivery of warfighting technologies for our air, space and cyberspace forces. We’re pushing the boundaries and creating a new tomorrow through …

AFRL Scholars Professionals (SPs) offers recent college graduates comprehensive research opportunities to contribute broadly to the advancement of the U.S. Department of the Air Force.

Federated Learning (FL) is a machine learning technique that enables multiple local clients holding individual datasets to collaboratively train a model, without exchanging the clients’ …

Federated Learning (FL) is a machine learning technique that enables multiple local clients holding individual datasets to collaboratively train a model, without exchanging the clients’ …

2023年1月1日 · 本文提出了一种新颖的fl方法，名为自适应鲁棒联邦学习（arfl），旨在解决传统fl方法存在的问题。 在客户端方面，ARFL提出了一种自适应模型 智能科学信息平台