ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework

Author:

Wang Chunnan1,Chen Xiang1,Wang Junzhe1,Wang Hongzhi1

Affiliation:

1. Harbin Institute of Technology

Funder

NSFC

Publisher

IEEE

Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning;IEEE Transactions on Parallel and Distributed Systems;2024-11

2. FedNLR: Federated Learning with Neuron-wise Learning Rates;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. Federated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark Study;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. On Vessel Location Forecasting and the Effect of Federated Learning;2024 25th IEEE International Conference on Mobile Data Management (MDM);2024-06-24

5. SDC-Net++: End-to-End Crash Detection and Action Control for Self-Driving Car Deep-IoT-Based System;Sensors;2024-06-12

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