ds_proj

Documentation Links

https://github.com/ivanbrillo/FederatedLearningErlang/blob/main/Federated_Learning_DOC.pdf

Stand Alone Use (without Java server)

Hide Warnings (Linux)

export TF_CPP_MIN_LOG_LEVEL=3

Starting Erlang Shells

To start the master node: rebar3 shell --sname master@localhost

To start slave nodes:

rebar3 shell --sname slave1@localhost

rebar3 shell --sname slave2@localhost

Basic Commands

To start the environment, passing models and weights and loading the db in each node the command is: master_supervisor:start_link_shell(self()).

To train the model for 1 epoch, the command is: master_api:train().

While, if you want to train the model for N epoch, the command is: master_api:train(N).

If you want to train the model for at most N epoch, until a T accuracy threshold is reached the command is: master_api:train(N, T).

Emulating disconnection and sleep

To emulate a node disconnection, from the master terminal you can execute:

erlang:disconnect_node('slave1@localhost').

This will disconnect the slave1@localhost node and the connection lost handling will be executed from the node and the master.

The sleep in the python node: time.sleep(70000)