Local MixVR achieves communication complexity scaling only with number of workers M, independent of total samples N, and outperforms Minibatch Accelerated SGD when M is smaller than order N to the 1/4.
Understanding outer optimizers in local sgd: Learning rates, momentum, and acceleration
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Periodic outer-momentum restarts in two-phase optimizers exploit phase cancellation in a linearized NTK model to widen stable learning-rate and momentum ranges in language-model pretraining.
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Local MixVR: Breaking the Communication-Sample Dependence in Distributed Learning
Local MixVR achieves communication complexity scaling only with number of workers M, independent of total samples N, and outperforms Minibatch Accelerated SGD when M is smaller than order N to the 1/4.
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Outer-Momentum Restarting in High-Dimensional Two-Phase Optimization
Periodic outer-momentum restarts in two-phase optimizers exploit phase cancellation in a linearized NTK model to widen stable learning-rate and momentum ranges in language-model pretraining.