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gautamHCSCV / Federated-Learning-Methods-Comparison

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We utilize the Adversarial Model Perturbations (AMP) regularizer to regularize clients’ models. The AMP regulzaizer is based on perturbing the model parameters so as to get a more generalized model. The claim of AMP regularizer is to reach flat minima and therefore is expected to reach flat minima in FL settings as well.

scaffold pytorch federated-learning fedavg fedprox fedntd amp-regularizer
  • Updated May 24, 2023
  • Python

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