机译:基于隐私区块链的交通流预测的联邦学习
School of Computer Science University of Electronic Science and Technology of China Zhongshan Institute China School of Computer Science and Engineering University of Electronic Science and Technology of China China;
Department of Software Engineering College of Computer and Information Sciences King Saud University Riyadh 11543 Saudi Arabia;
Energy Research Institute Nanyang Technological University Singapore School of Computer Science and Engineering Nanyang Technological University Singapore;
Energy Research Institute Nanyang Technological University Singapore;
Federated learning; Blockchain; Local differential privacy; Traffic flow prediction; Intelligent transportation systems;
机译:基于隐私的基于区块链的联合学习的IOT设备
机译:联邦学习和隐私:在分散数据上构建机器学习和数据科学的隐私保存系统
机译:基于区块链的联邦学习工业物联网设备故障检测
机译:FELFRU:通过联合学习保留隐私交通流预测
机译:具有实时数据的流量流建模,用于在线网络流量估计和预测。
机译:联合医院物联网云中远程医学实验室的基于区块链的医疗保健工作流程
机译:保留隐私式交通流预测:联合学习方法
机译:印第安纳州高速公路交通特征与高速公路交通流量的动态预测