Towards interpretable deep local learning with successive gradient reconciliation
Relieving the reliance of neural network training on a global back-propagation (BP) has emerged as a notable research topic due to the biological implausibility and huge memory consumption caused by BP. Among the existing solutions, local learning optimizes gradient-isolated modules of a neural netw...
| Үндсэн зохиолчид: | , , , , , , |
|---|---|
| Формат: | Conference item |
| Хэл сонгох: | English |
| Хэвлэсэн: |
PMLR
2024
|