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, ...

The latest trends and issues around the use of open source software in the enterprise. Twitter reworking billionaire Elon Musk has stated that he will open up a new algorithm related to operations on ...

Imagine one day a giant box appears on a former agricultural field. Inside the box is a seemingly endless array of computer servers – thousands of them. To sustain the servers, this giant box uses a ...

Jan 10 (Reuters) - Elon Musk said on Saturday that social media platform X will open to the public its new algorithm, including all code for organic and advertising post recommendations, in seven days ...