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FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
Forked from wyze-AI/AdaptiveDistillation
The source code for the paper titled: "Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation", accepted to BMVC2021
In this repository, we implement Targeted Meta-Learning (or Targeted Data-driven Regularization) architecture for training machine learning models with biased data.
This repository implements skeleton matching algorithm.
Implementation of Redundancy Infused SGD for faster distributed SGD.
Implementation of Local Updates Periodic Averaging (LUPA) SGD
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