Ohio State may offer university-wide asynchronous classes on every federal general election day as part of an effort to encourage civic engagement if university leadership approves the resolution.
Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...
During the pandemic, many students were exposed to a “new” kind of coursework that has existed at colleges for years: classes where all instruction is conducted virtually, rather than in a physical ...
Covering the video games industry since 2017, with experience in news, articles, lists, and reviews (and I blame The Legend of Zelda: Majora's Mask for that). If you are a fan of RPGs and want a third ...
“If you are always trying to be normal you may never know how amazing you can be.” –Maya Angelou There is a great body of evidence in neuroscience indicating that our individuality originates within ...
Artificial intelligence models can secretly transmit dangerous inclinations to one another like a contagion, a recent study found. Experiments showed that an AI model that’s training other models can ...
Introduction: In online learning context, achievement emotions are of great significance and exert an influence on students’ learning performance. However, the research conclusions about the impact of ...
Abstract: Federated learning (FL) has been extensively applied in industrial cyber-physical systems (ICPSs) to develop powerful models for complex industrial tasks (e.g., fault diagnosis), while ...
What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.
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