Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression

Research article (Physical Communication, 2022) · cited 42× · AI/ML
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Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression

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Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-task-learning-approach-for-modulation-and-wireless-signal-classification-for-5g-and-beyond-edge-deployment-via-mod
MLA “Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-task-learning-approach-for-modulation-and-wireless-signal-classification-for-5g-and-beyond-edge-deployment-via-mod.
BibTeX @misc{4ortxyz_multi-task-learning-approach-for-modulation-and-wireless-signal-classification-for-5g-and-beyond-edge-deployment-via-mod_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression}}, year = {2026}, url = {https://4ort.xyz/entity/multi-task-learning-approach-for-modulation-and-wireless-signal-classification-for-5g-and-beyond-edge-deployment-via-mod}, note = {Accessed: 2026-05-24}}
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