APPFL, Advanced Privacy-Preserving Federated Learning, is an open-source and highly extensible software framework that allows research communities to implement, test ...
Abstract: The use of unmanned aerial vehicles (UAVs) as flying base stations to support various tasks, such as data collection, machine learning (ML) model training, and wireless communication in ...
Leah Zitter is a technical writer who covers high tech. She holds a Ph.D. in psychology research and a master’s in philosophy and advanced logic. Eleven years ago, researchers warned in the journal ...
Course-based undergraduate research experiences (CUREs) have rapidly become essential components in STEM education. However, there is limited guidance for implementing these classes in fully ...
Winter weather produced some of my fondest memories as a child. Now, we've made it a nightmare for parents. Indiana school districts have called off in-person learning for days on end as snow piled up ...
TransferQueue is a high-performance data storage and transfer module with panoramic data visibility and streaming scheduling capabilities, optimized for efficient dataflow in post-training workflows.
U.S. Air Force Senior Airman Caleb Mackney, education system support assigned to the 42nd Communications Squadron, works on a computer during the Airman Leadership School Distance Learning 2.0 Program ...
The bell rings at 10:00 a.m. A teacher begins explaining quadratic equations. Some students lean forward, pencils ready. Others stare at the clock. A few are still turning yesterday’s lesson over in ...
Abstract: Asynchronous federated learning (AFL) tackles the straggler effect of traditional synchronous federated learning (SFL). Yet, AFL may face limited (communication, computation, and energy) ...
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