Author Correction: Lead federated neuromorphic learning for wireless edge artificial intelligence (Nature Communications, (2022), 13, 1, (4269), 10.1038/s41467-022-32020-w)

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 preservation but also reduce data traffic and network latency”. The correct version states “Such capability not only facilitates data privacy preservation but also reduces data traffic and network latency”. The original version of this Article contained an error in the text (Page 2), which was previously incorrectly given as “Schematic of a social leaning network, where each human uses five sensory organs to interact the outside environment”. The correct version states “Schematic of a social learning network, where each human uses five sensory organs to interact with theoutside environment”. The original version of this Article contained an error in the text (Page 2), which was previously incorrectly given as “Inspired by the collaborative human learning system (a) a federated”. The correct version states “Inspired by the collaborative learning system in (a) afederated”. The original version of this Article contained an error in the text (Page 9), which was previously incorrectly given as “with a leader to performance model aggregation”. The correct version states “with a leader to perform model aggregation”. The original version of thisArticle contained an error in the Acknowledgements,whichwas previously incorrectly given as “Singapore and InfocommMedia Development Authority under its Future Communications Research & Development Programme”. The correct version states “the National Research Foundation, Singapore and Infocomm Media Development Authority under its Future Communications Research & Development Programme”.These have been corrected in both the PDF and HTML versions of the Article.