Split learning meets Koopman theory for wireless remote monitoring and prediction

AM Girgis, H Seo, J Park, M Bennis… - 2021 IEEE 32nd Annual …, 2021 - ieeexplore.ieee.org
Remote state monitoring over wireless is envisaged to play a pivotal role in enabling beyond
5G applications ranging from remote drone control to remote surgery. One key challenge is …
被引用次数：7 相关文章
[PDF] researchgate.net

[PDF][PDF] Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction

AM Girgis, H Seo, J Park, M Bennis, J Choi - researchgate.net
Remote state monitoring over wireless is envisaged to play a pivotal role in enabling beyond
5G applications ranging from remote drone control to remote surgery. One key challenge is …

Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction

AM Girgis, H Seo, J Park, M Bennis, J Choi - arXiv preprint arXiv …, 2021 - arxiv.org
Remote state monitoring over wireless is envisaged to play a pivotal role in enabling beyond
5G applications ranging from remote drone control to remote surgery. One key challenge is …

Split learning meets Koopman theory for wireless remote monitoring and prediction

AM Girgis, H Seo, J Park, M Bennis… - 32nd IEEE Annual …, 2021 - oulurepo.oulu.fi
Remote state monitoring over wireless is envisaged to play a pivotal role in enabling beyond
5G applications ranging from remote drone control to remote surgery. One key challenge is …

[引用][C] Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction

AM Girgis, H Seo, J Park, M Bennis, J Choi - 2021 - dro.deakin.edu.au

Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction

AM Girgis, H Seo, J Park, M Bennis, J Choi - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Remote state monitoring over wireless is envisaged to play a pivotal role in enabling beyond
5G applications ranging from remote drone control to remote surgery. One key challenge is …

[引用][C] Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction

AM Girgis, H Seo, J Park, M Bennis, J Choi - 2021 - dro.deakin.edu.au