Hardware-in-the-loop training of a 4f optical correlator with the PEPITA forward-only algorithm reaches MNIST accuracy comparable to backpropagation while removing the need for software gradients and claiming a log-factor reduction in training complexity.
Error-driven input modulation: Solving the credit assignment problem without a backward pass
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Hardware-In-The-Loop Training of a 4f Optical Correlator with Logarithmic Complexity Reduction for CNNs
Hardware-in-the-loop training of a 4f optical correlator with the PEPITA forward-only algorithm reaches MNIST accuracy comparable to backpropagation while removing the need for software gradients and claiming a log-factor reduction in training complexity.