Gradient Compression May Hurt Generalization: A Remedy by Synthetic Data Guided Sharpness Aware Minimization | ScienceToStartup | ScienceToStartup

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References (42)

[1]

FedPPO: Reinforcement Learning-Based Client Selection for Federated Learning With Heterogeneous Data

2025Zheyu Zhao, Anran Li et al.

[2]

Learning Efficiency Maximization for Wireless Federated Learning With Heterogeneous Data and Clients

2024Jinhao Ouyang, Yuan Liu

[3]

Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization

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"Improving federated learning generalization using synthetic data for sharpness-aware optimization."

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Gradient Compression May Hurt Generalization: A Remedy by Synthetic Data Guided Sharpness Aware Minimization

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Gradient Compression May Hurt Generalization: A Remedy by Synthetic Data Guided Sharpness Aware Minimization

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