Learning FedML with Examples

This tutorial will show you how to use FedML and Pytorch to perform Federated Learning with the following examples:

Federated Averaging (FedAvg) Learning with MNIST dataset

Simulation
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.. toctree::
    :maxdepth: 2
    :name: simulation

    simulation-examples/single process.md
    simulation-examples/mpi-simple.md
    simulation-examples/mpi-base-framework.md
    simulation-examples/mpi-robust.md
    simulation-examples/mpi-decentrilized.md



Cross-silo
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.. toctree::
    :maxdepth: 2
    :name: cross-silo

    cross-silo-examples/mqtt-s3.md

.. toctree::
    :maxdepth: 1
    :name: cross-silo

    cross-silo-examples/grpc.md

.. toctree::
    :maxdepth: 1
    :name: cross-silo

    cross-silo-examples/trpc.md

Cross-device
>>>>>>>>>>>>>>>>>>
.. toctree::
    :maxdepth: 1
    :name: cross-device

    cross-device-examples/mqtt-s3.md



Federated Optimization (FedOpt) Learning with EMNIST dataset

.. toctree:: :maxdepth: 2 :name: simulation

simulation-examples/single process.md