【笔记】《Federated Learning With Blockchain for Autonomous Vehicles Analysis and Design Challenges》精读笔记
论文信息 DOI: 10.1109/TCOMM.2020.2990686 1.摘要 作者提出了基于区块链的联邦学习（BFL），用于隐私感知和高效的车辆通信网络。其中自动驾驶车辆车载机器学习（oVML）模型更新以分布式进行交换和验证。（与相邻车辆进行数据交易） 奖励机制。 开发了一个数学框架：以可控网络和BFL参数（如：重传限制、块大小、块生成率、帧大小）为特征，以便捕捉它们对系统级性能的影
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