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[AISTATS 2024] An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization.

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DREAM

The code is based on MPI whose installation can be done followed by this guide at https://ireneli.eu/2016/02/15/installation/.

Run the code with

mpiexec -n 8 python demo.py

The datasets used in our experiments are available at https://www.csie.ntu.edu.tw/~cjlin/libsvm/.

You can change different datasets by change the default={%dataset} in the following code in demo.py

parser.add_argument('--data_file', default='ijcnn1', type=str, help='file of data')

We use dataset a9a, w8a and ijcnn1 in our experiments.

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[AISTATS 2024] An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization.

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