Researchers from Sun Yat-sen University’s Shenzhen Campus, led by WenYuan Yang and Gege Jianga, have developed a decentralized federated learning framework, DFUN-KDF, to enhance UAV network efficiency ...

However, existing federated reinforcement learning approaches have not adequately addressed communication and computation overhead issues. To address these challenges, this study proposes a tensor ...

Researchers at Beihang University, in collaboration with the Beijing Zhongguancun Laboratory, have developed a new defense strategy called Long-Short Historical Gradient Federated Learning (LSH-FL), ...

In federated learning, malicious attackers may control clients and servers to perform gradient poisoning, forge aggregation results, and infer individual gradient privacy, posing serious security ...

Our tutorials can answer your questions! Navigate to the technology below for a description of the equipment, design specifications, and detailed tutorial video. For general equipment help, come to ...

This project implements a federated learning system for intrusion detection in IoT networks using the Flower framework. The system achieves high accuracy in detecting network intrusions while ...

MLC - machine learning core This repository provides examples, tutorials, and tools for the MLC, a dedicated core for machine learning processing, able to execute algorithms directly inside the sensor ...

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