A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...
Prism merges biostatistics, curve fitting, and scientific graphing into one environment, built for streamlined research workflows. Prism is a statistical and scientific graphing application engineered ...
Abstract: Hierarchical federated learning (HFL) is a key technology enabling distributed learning with reduced communication overhead. However, practical HFL systems encounter two major challenges: ...
array.fill_ is currently implemented as a host-to-device copy plus a memtile kernel. During graph capture, the address of the source argument is recorded and used for the HtoD copies in the subsequent ...
Abstract: Graph Neural Networks (GNNs) are widely used across fields, with inductive learning replacing transductive learning as the mainstream training paradigm due to its superior memory efficiency, ...
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