Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data
Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data explores A robust second-order optimizer for federated learning that improves convergence and reduces communication costs on non-IID data.. Commercial viability score: 4/10 in Federated Learning Optimization.
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