AI RESEARCH
Adaptive Multi-Scale Goodness Aggregation for Forward-Forward Learning
arXiv CS.AI
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ArXi:2605.18804v1 Announce Type: cross We propose Adaptive Multi-Scale Goodness Aggregation (AMSGA), a novel extension of the Forward-Forward (FF) algorithm designed to improve stability, robustness, and generalization in local-learning neural networks. AMSGA addresses several limitations of the original FF framework by