Lead federated neuromorphic learning for wireless edge artificial intelligence
oleh: Helin Yang, Kwok-Yan Lam, Liang Xiao, Zehui Xiong, Hao Hu, Dusit Niyato, H. Vincent Poor
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-07-01 |
Deskripsi
Designing energy-efficient computing solution for the implementation of AI algorithms in edge devices remains a challenge. Yang et al. proposes a decentralized brain-inspired computing method enabling multiple edge devices to collaboratively train a global model without a fixed central coordinator.