Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...
Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...
When we discuss infrastructure in America, we typically envision the roads, bridges and power lines that enable us to travel and keep our homes functioning. But there is another vital system that ...
CEO Tan focuses on cost-cutting and new product road map Intel's new manufacturing tech faces yield challenges, affecting margins Intel's stock has outperformed semiconductor index despite challenges ...
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