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Editor’s note: This post from Duke’s Fuqua School of Business is the second article about the future of machine learning in WRAL TechWire’s regular “Deep Dive” feature. Earlier this month Deep Dive ...
Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...
Ed Hicks, business development manager for federal and artificial intelligence at Dell Technologies (NYSE: DELL), said government agencies that intend to implement AI at the edge should consider ...
Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...
Title: Non independent data processing for robust federated learning in massive IoT Abstract: 6G aims to enhance even further 5G capabilities, by accommodating use cases of massive IoT (MIoT) and real ...
One of the key challenges of machine learning is the need for large amounts of data. Gathering training datasets for machine learning models poses privacy, security, and processing risks that ...
NIT Jamshedpur hosts ICADCML 2026, highlights global research in distributed computing and machine learning | Education ...
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