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1. PGHash PGHash Public

   On-device training of large networks

   Python 1

2. TTP-NeuralNets-Compression TTP-NeuralNets-Compression Public

   Forked from FurongHuang/TTP-NeuralNets-Compression

   We implement an efficient mechanism for compressing large networks by {\em tensorizing\/} network layers: i.e. mapping layers on to high-order matrices, for which we introduce new tensor decomposit…

   Python

3. DP-Federated-and-Split-Learning DP-Federated-and-Split-Learning Public

   Differentially Private SGD for Decentralized Federated Learning Models

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4. Tensorial-Neural-Networks Tensorial-Neural-Networks Public

   Forked from umd-huang-lab/Tensorial-Neural-Networks

   We implement tensorial neural networks (TNNs), a generalization of existing neural networks by extending tensor operations on low order operands to those on high order operands.

   Python

5. MLTutorial MLTutorial Public

   A tutorial designed by Tahseen Rabbani for building ML classifiers, produced for UMD Combine.

   Jupyter Notebook

6. Comfetchv2 Comfetchv2 Public

   Count sketch compression of networks

   Python