Abstract: A position tracking system and data processing algorithm based on the angle of arrival (AOA) are innovatively proposed to reduce the system’s static error ...
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 ...
Data and infrastructure have been stubborn components of AI implementations, hindering the training of models for targeted use cases and creating bottlenecks for in-demand services. Hyperscalers are ...
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