[HTML][HTML] Lead federated neuromorphic learning for wireless edge artificial intelligence
In order to realize the full potential of wireless edge artificial intelligence (AI), very large and
diverse datasets will often be required for energy-demanding model training on resource …
diverse datasets will often be required for energy-demanding model training on resource …
Lead federated neuromorphic learning for wireless edge artificial intelligence.
H Yang, KY Lam, L Xiao, Z Xiong, H Hu… - Nature …, 2022 - europepmc.org
In order to realize the full potential of wireless edge artificial intelligence (AI), very large and
diverse datasets will often be required for energy-demanding model training on resource …
diverse datasets will often be required for energy-demanding model training on resource …
[HTML][HTML] Lead federated neuromorphic learning for wireless edge artificial intelligence
H Yang, KY Lam, L Xiao, Z Xiong, H Hu… - Nature …, 2022 - ncbi.nlm.nih.gov
In order to realize the full potential of wireless edge artificial intelligence (AI), very large and
diverse datasets will often be required for energy-demanding model training on resource …
diverse datasets will often be required for energy-demanding model training on resource …
[PDF][PDF] Lead federated neuromorphic learning for wireless edge artificial intelligence
H Yang, KY Lam, L Xiao, Z Xiong, H Hu… - Nature …, 2022 - fcp.sutd.edu.sg
In order to realize the full potential of wireless edge artificial intelligence (AI), very large and
diverse datasets will often be required for energy-demanding model training on resource …
diverse datasets will often be required for energy-demanding model training on resource …
Author Correction: Lead federated neuromorphic learning for wireless edge artificial intelligence (Nature Communications,(2022), 13, 1,(4269), 10.1038/s41467-022 …
H Yang, KY Lam, L Xiao, Z Xiong… - Nature …, 2022 - collaborate.princeton.edu
The original version of this Article contained an error in the text (in the first paragraph), which
was previously incorrectly given as “Such capability cannot only facilitate data privacy …
was previously incorrectly given as “Such capability cannot only facilitate data privacy …
Lead federated neuromorphic learning for wireless edge artificial intelligence
H Yang, KY Lam, L Xiao, Z Xiong, H Hu… - Nature …, 2022 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> In order to realize the full potential of wireless
edge artificial intelligence (AI), very large and diverse datasets will often be required for …
edge artificial intelligence (AI), very large and diverse datasets will often be required for …
Lead federated neuromorphic learning for wireless edge artificial intelligence
H Yang, KY Lam, L Xiao, Z Xiong, H Hu… - Nature …, 2022 - ideas.repec.org
In order to realize the full potential of wireless edge artificial intelligence (AI), very large and
diverse datasets will often be required for energy-demanding model training on resource …
diverse datasets will often be required for energy-demanding model training on resource …
[引用][C] Author Correction: Lead federated neuromorphic learning for wireless edge artificial intelligence
H Yang, KY Lam, L Xiao, Z Xiong, H Hu… - Nature …, 2022 - nature.com
The original version of this Article contained an error in the text (in the first paragraph), which
was previously incorrectly given as “Such capability cannot only facilitate data privacy …
was previously incorrectly given as “Such capability cannot only facilitate data privacy …
Lead federated neuromorphic learning for wireless edge artificial intelligence
H Yang, KY Lam, L Xiao, Z Xiong, H Hu… - Nature …, 2022 - econpapers.repec.org
In order to realize the full potential of wireless edge artificial intelligence (AI), very large and
diverse datasets will often be required for energy-demanding model training on resource …
diverse datasets will often be required for energy-demanding model training on resource …
Lead federated neuromorphic learning for wireless edge artificial intelligence.
H Yang, KY Lam, L Xiao, Z Xiong, H Hu… - Nature …, 2022 - search.ebscohost.com
In order to realize the full potential of wireless edge artificial intelligence (AI), very large and
diverse datasets will often be required for energy-demanding model training on resource …
diverse datasets will often be required for energy-demanding model training on resource …