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: Efficient task scheduling is fundamental to real-time systems, where minimizing deadline misses and improving stability and determinism are the main goals. In this paper, we propose an ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results