
The author proposes a novel approach, Batch Size Invariant Adam, to address the limitations of standard Adam optimization in large-scale distributed settings. By modifying the update rules, batch size invariance is achieved without relying on strong assumptions.


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Developing-Batch-Size-Invariant-Adam-for-Large-Scale-Optimization


Developing Batch Size Invariant Adam for Large-Scale Optimization


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Optimizing Adam for batch size invariance in large-scale distributed settings.


batch-size-invariant-adam-optimizing-large-scale-distributed-settings


Batch Size Invariant Adam: Optimizing Large-Scale Distributed Settings
