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Running the Server and Clients

Starting the Server

The server is started by running the following command in the root directory of the framework:

python -m federa.server.start_server

Arguments that can be passed to the server are:

Server Configuration Options
Argument Description Default
algorithm specifies the aggregation algorithm fedavg
clients specifies number of clients selected per round 1
fraction specifies fraction of clients selected 1
rounds specifies total number of rounds 1
model_path specifies initial server model path initial_model.pt
epochs specifies client epochs per round 1
accept_conn determines if connections accepted after FL begins 1
verify specifies if verification module runs before rounds 0
threshold specifies minimum verification score 0
timeout specifies client training time limit per round None
resize_size specifies dataset resize dimension 32
batch_size specifies dataset batch size 32
net specifies network architecture LeNet
dataset specifies dataset name MNIST
niid specifies data distribution among clients 1
carbon specifies if carbon emissions tracked at client side 0
encryption specifies whether to use SSL encryption or not 0
server_key specifies path to server key certificate server-key.pem
server_cert specifies path to server certificate server.pem

Starting the Clients

The clients are started by running the following command in the root directory of the framework:

python federa.client.start_client

Arguments that can be passed to the clients are:

Client Configuration Options
Argument Description Default
server_ip specifies server IP address localhost:8214
device specifies device cpu
encryption specifies whether to use SSL encryption or not 0
ca specifies path to CA certificate ca.pem
wait_time specifies time to wait before reconnecting to the server 30