Topic: fedntd Goto Github
Some thing interesting about fedntd
Some thing interesting about fedntd
fedntd,We utilize the Adversarial Model Perturbations (AMP) regularizer to regularize clientsβ 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.
User: gautamhcscv
fedntd,(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
User: lee-gihun
fedntd,(CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"
User: lee-gihun
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