A distributed randomized binary search lets federated learning clients find a hardware-safe shared batch size within a few rounds, speeding up training compared to a small default batch size.
Control batch size and learning rate to generalize well: Theoretical and empirical evidence,
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Collaborative Batch Size Optimization for Federated Learning
A distributed randomized binary search lets federated learning clients find a hardware-safe shared batch size within a few rounds, speeding up training compared to a small default batch size.