Abstract: Optimizing power distribution networks (PDNs) is a key research target in power integrity (PI) design, and the optimization of decoupling capacitors (decaps) is a critical approach to ...
Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
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 ...
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