To talk or to work: Delay efficient federated learning over mobile edge devices

P Prakash, J Ding, M Wu, M Shu… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Federated learning (FL), an emerging distributed machine learning paradigm, in conflux with
edge computing is a promising area with novel applications over mobile edge devices. In …
被引用次数：6 相关文章

To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices

P Prakash, J Ding, M Wu, M Shu, R Yu… - arXiv preprint arXiv …, 2021 - arxiv.org
Federated learning (FL), an emerging distributed machine learning paradigm, in conflux with
edge computing is a promising area with novel applications over mobile edge devices. In …

To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices

P Prakash, J Ding, M Wu, M Shu, R Yu… - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Federated learning (FL), an emerging distributed machine learning paradigm, in conflux with
edge computing is a promising area with novel applications over mobile edge devices. In …
[PDF] researchgate.net

[PDF][PDF] To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices

P Prakash, J Ding, M Wu, M Shu, R Yu, M Pan - 2021 - researchgate.net
Federated learning (FL), an emerging distributed machine learning paradigm, in conflux with
edge computing is a promising area with novel applications over mobile edge devices. In …
[PDF] nsf.gov

[PDF][PDF] To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices

P Prakash, J Ding, M Wu, M Shu, R Yu… - IEEE Global …, 2021 - par.nsf.gov
Federated learning (FL), an emerging distributed machine learning paradigm, in conflux with
edge computing is a promising area with novel applications over mobile edge devices. In …