A simulated framework that dynamically coordinates stage allocation, federated aggregation, and runtime compression reduces edge artificial intelligence inference latency by ...
A new theoretical framework called LiePrune uses Lie-algebraic compression to prevent barren plateaus and improve the trainability of quantum neural ...
Researchers in South Korea have developed a progressive distillation framework called ASBQ that trains one-bit binary neural networks to match ...
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