Distributed learning in wireless networks: Recent progress and future challenges

M Chen, D Gündüz, K Huang, W Saad… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …
被引用次数：380 相关文章
[PDF] umich.edu

[PDF][PDF] Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

M Chen, D Gündüz, K Huang, W Saad… - IEEE JOURNAL ON …, 2021 - ziyang.eecs.umich.edu
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …

Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

M Chen, D Gündüz, K Huang, W Saad… - arXiv e …, 2021 - ui.adsabs.harvard.edu
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …

Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

M Chen, D Gunduz, K Huang, W Saad… - IEEE journal on …, 2021 - scholarship.miami.edu
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …

Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

M Chen, D Gunduz, K Huang… - IEEE Journal on …, 2021 - collaborate.princeton.edu
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …
[PDF] robertdick.org

[PDF][PDF] Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

M Chen, D Gündüz, K Huang, W Saad… - IEEE JOURNAL ON …, 2021 - ww.robertdick.org
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …
[PDF] nsf.gov

[PDF][PDF] Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

M Chen, D Gunduz, K Huang, W Saad… - IEEE Journal on …, 2021 - par.nsf.gov
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …

Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

M Chen, D Gunduz, K Huang, W Saad… - IEEE JOURNAL ON …, 2021 - iris.unimore.it
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …

[引用][C] Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

M Chen, D Gündüz, K Huang, W Saad… - … IEEE J. of Sel. Topics in …, 2021 - hub.hku.hk
HKU Scholars Hub: Distributed Learning in Wireless Networks: Recent Progress and Future
Challenges Skip navigation HKU Login Guest Login Home Publications Researchers Staff …

Distributed Learning in Wireless Networks: Recent Progress and Future Challenges

M Chen, D Gündüz, K Huang, W Saad… - arXiv preprint arXiv …, 2021 - arxiv.org
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …