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SCAFFOLD's struggles in federated optimization stem from its inability to reliably estimate the global gradient at the Edge of Stability, revealing critical limitations in its design.
Edge of Stability isn't just a Euclidean thing: a generalized sharpness measure reveals that non-Euclidean gradient descent also operates at the edge, offering a single spectral measure across diverse optimizers.
