LSAM combines SAM's sharpness-aware objective with an EASGD-style asynchronous sampling scheme and claims SGD-rate convergence plus better accuracy than data-parallel SAM.
Convergence rate in a nonlinear two-time-scale stochastic approximation with state (time)-dependence
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LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization
LSAM combines SAM's sharpness-aware objective with an EASGD-style asynchronous sampling scheme and claims SGD-rate convergence plus better accuracy than data-parallel SAM.