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learning rate warm up algorithm using pytorch and paddle

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Federated Learning based on MultiParty Computation (Overview)

add discription here....

Compile and Installtion

Environment Preparation

add requirements here... such as python version

Clone the source code and compile

git clone https://repo/site

cd /path/to/paddle_mpc

git checkout 

mkdir build && cd build

#Execute Compile Commands

cmake ..

make -j$(nproc)

Example

Build your model

#python code here

Execution and Results

#run python code

python xxx.py

Framework Design

Data Prepare

  • data provider share data

  • ...

Training Phase

  • privacy comutation

  • ....

Benchmark Task

put result here as a table?

DataSet/Task training methods Result

On Going and Future Work

  • more features

Reference

[1].

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learning rate warm up algorithm using pytorch and paddle

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