fBP trains SNNs with separate forward and feedback networks by freezing feedback weights periodically during updates, matching BP accuracy while cutting transport costs up to 10,000x via partial schemes.
Grid’5000: A Large Scale, Reconfigurable, Controlable and Monitorable Grid Platform
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Frozen Backpropagation: Relaxing Weight Symmetry in Deep Spiking Neural Networks
fBP trains SNNs with separate forward and feedback networks by freezing feedback weights periodically during updates, matching BP accuracy while cutting transport costs up to 10,000x via partial schemes.