LayerPipe2 derives per-layer delay assignments for multistage pipelined training and uses an improved moving average to recompute past weights without explicit storage.
Determining the minimum iteration period of an algorithm
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LayerPipe2: Multistage Pipelining and Weight Recompute via Improved Exponential Moving Average for Training Neural Networks
LayerPipe2 derives per-layer delay assignments for multistage pipelined training and uses an improved moving average to recompute past weights without explicit storage.