Learning Without a Global Clock: Asynchronous Learning in a Physics-Driven Learning Network
Jacob F Wycoff,
Sam Dillavou,
Menachem Stern
et al.
Abstract:In a neuron network, synapses update individually using local information, allowing for entirely decentralized learning. In contrast, elements in an artificial neural network (ANN) are typically updated simultaneously using a central processor. Here we investigate the feasibility and effect of asynchronous learning in a recently introduced decentralized, physics-driven learning network. We show that desynchronizing the learning process does not degrade performance for a variety of tasks in an idealized simulat… Show more
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