It seems that a consequence of this approach is that it'll create more maintenance overhead: changes will have to take into account multiple abstractions that they can affect.
Target Propagation: Instead of passing an error gradient backward, the network passes a “target state” backward [8]. The motor cortex tells the layer below it, “Hey, I really wished you had sent me THIS signal instead.” The lower layer uses local STDP to adjust itself closer to that wishlist.
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The power of the ZK approach gives us many other tools to limit the power of credentials. For example, it’s relatively easy to add expiration dates to credentials, which will implicitly limit their useful lifespan — and hopefully reduce the probability that one gets stolen. To do this, we simply add a new field (e.g., Expiration_Time) that specifies a timestamp at which the credential should expire.
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