Cloud & Infra impact 16

SGD at the Edge of Stability: The Stochastic Sharpness Gap

SGD at the Edge of Stability: The Stochastic Sharpness Gap arXiv:2604.21016v1 Announce Type: cross Abstract: When training neural networks with full-batch gradient descent (GD) and step size $\eta$, the largest eigenval…

Why it matters

The timing matters: edge is converging with shifts in stability, which could amplify the downstream impact.

Read full article at arXiv AI →

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