Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
Implementation of Federated Learning Algorithms for Non Independent and Identically Distributed Data
Abstract: Federated Learning (FL) has emerged as a transformative approach for training machine learning models across decentralized data sources while preserving privacy. This study evaluates the ...
Abstract: This article concentrates on distributed optimization over networks with communication delays. Each subsystem in the network performs its local updates by using the information received from ...
Abstract: The need for data protection in national critical information infrastructure units has become more and more urgent with the deepening of digital transformation. At present, the rapid ...
Abstract: With the rapid development of the smart grid relying on communication and computer science technology, its vulnerabilities to intentional cyber-attacks are also exposed to cyber-attackers.
Abstract: In this paper, we present a hardware-efficient 1200-point single-path delay feedback (SDF) fast Fourier transform (FFT) architecture. Contrary to previous FFT architectures for ...
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...
Abstract: High-shock accelerometers are essential for automotive airbag systems, where sensors must detect extreme shock events while maintaining structural integrity. However, conventional MEMS ...
Abstract: This paper presents a Q-Iearning-based adaptive multipath routing algorithm designed specifically for data center networks. By leveraging the discrete nature of Q-Iearning, the proposed ...
Abstract: LiDAR point cloud data is essential in autonomous driving, robotic navigation, and 3D modeling. However, noise caused by sensor errors and environmental factors degrades data quality and ...
Jan 10 (Reuters) - Elon Musk said on Saturday that social media platform X will open to the public its new algorithm, including all code for organic and advertising post recommendations, in seven days ...
Abstract: The demand for 3D scanning of workpiece geometries in automated assembly within workshops is increasingly critical, playing a vital role in the process. Point cloud registration, as an ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results