Abstract: Federated learning (FL) is a distributed machine learning (ML) paradigm designed for numerous networked devices. To face the massive data generated by devices and privacy concerns in model ...
Abstract: This tutorial provides ground theory and practical strategies for the design of clock-and-data-recovery circuits. We begin by relating performance metrics such as jitter transfer, jitter ...
WASHINGTON, May 28 (Reuters) - U.S. forces deployed to war zones have been targeted using commercially available location data, according to reports fielded by military officials, an illustration of ...
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