Frontiers

Retrieval practice enhances learning in real primary school settings, whether distributed or not

With the aim of bridging the gap between laboratory studies and real-world learning experiences, this research investigated the effects of combining retrieval and distributed practice in primary ...
IEEE

Graph-Hierarchical Approaches for Distributed Learning Over Nonuniform Durations of Agents

Abstract: The design and analysis of distributed learning for multiagent networks generally resort to the graph-theoretical methods in the leader–follower framework, but how to exploit new ...
usace.army.mil

e=Emergency distributed learning

This article is brought to the NCO Corps by the letter "e." Due to the current precautions in place for the COVID-19 pandemic, the Basic Leader Course, the Master Leader Course, and the Sergeants ...
IEEE

Sparsity-Aware Distributed Learning for Gaussian Processes With Linear Multiple Kernel

Abstract: Gaussian processes (GPs) stand as crucial tools in machine learning and signal processing, with their effectiveness hinging on kernel design and hyperparameter optimization. This article ...
AFCEA

Advanced Distributed Learning Reaches Maturity

Program creates template for interoperable, Web-based educational content. The U.S. Defense Department has developed a software standard that permits organizations to write and share online courses ...
Huawei

In-Network Learning for Distributed RAN AI

This paper proposes a distributed learning algorithm, named In-Network Learning (INL), for inference over wireless RANs without transmitting raw data. Wireless radio access networks (RANs) have ...