Attacks

This example demonstrates how to inject an attack during FL training. We utilize logistic regression, MNIST dataset, and the optimizer FedAVG. The source code locates at https://github.com/FedML-AI/FedML/tree/master/python/examples/federate/security/mqtt_s3_fedavg_attack_mnist_lr_example. We provide sample configurations for byzantine attacks (zero/random/flip mode), label flipping attack, and model replacement attack at https://github.com/FedML-AI/FedML/tree/master/python/examples/federate/security/mqtt_s3_fedavg_attack_mnist_lr_example/config. As an example, we utilize byzantine attack of random mode and set the number of FL clients to be 4.

If you have multiple nodes, you should run the client script on each node

APIs

The highly encapsulated server and client API calls are shown as below. Note that we set the path of the configuration file in the two bash scripts to be config/byzantine/fedml_config.yaml to load the configuration for byzantine attack.

run_server.sh is as follows:

#!/usr/bin/env bash

RUN_ID=$1
python3 torch_server.py --cf config/byzantine/fedml_config.yaml --rank 0 --role server --run_id $RUN_ID

torch_server.py

import fedml
from fedml import FedMLRunner

if __name__ == "__main__":
    args = fedml.init()

    # init device
    device = fedml.device.get_device(args)

    # load data
    dataset, output_dim = fedml.data.load(args)

    # load model
    model = fedml.model.create(args, output_dim)

    # start training
    fedml_runner = FedMLRunner(args, device, dataset, model)
    fedml_runner.run()

run_client.sh

#!/usr/bin/env bash
RANK=$1
RUN_ID=$2
python3 torch_client.py --cf config/byzantine/fedml_config.yaml --rank $RANK --role client --run_id $RUN_ID

torch_client.py

import fedml
from fedml import FedMLRunner

if __name__ == "__main__":
    args = fedml.init()

    # init device
    device = fedml.device.get_device(args)

    # load data
    dataset, output_dim = fedml.data.load(args)

    # load model
    model = fedml.model.create(args, output_dim)

    # start training
    fedml_runner = FedMLRunner(args, device, dataset, model)
    fedml_runner.run()

At the client side, the client ID (a.k.a rank) starts from 1. Please also modify fedml_config.yaml, changing the client_num_in_total the as the number of clients you plan to run.

At the server side, run the following script:

bash run_server.sh a

For client 1, run the following script:

bash run_client.sh 1 a

For client 2, run the following script:

bash run_client.sh 2 a

For client 3, run the following script:

bash run_client.sh 3 a

For client 4, run the following script:

bash run_client.sh 4 a

fedml_config.yaml is shown below.

common_args:
  training_type: "cross_silo"
  scenario: "horizontal"
  using_mlops: false
  random_seed: 0
  config_version: release

environment_args:
  bootstrap: config/bootstrap.sh

data_args:
  dataset: "mnist"
  data_cache_dir: ~/fedml_data
  partition_method: "hetero"
  partition_alpha: 0.5

model_args:
  model: "lr"
  model_file_cache_folder: "./model_file_cache" # will be filled by the server automatically
  global_model_file_path: "./model_file_cache/global_model.pt"

train_args:
  federated_optimizer: "FedAvg"
  client_id_list:
  client_num_in_total: 1000
  client_num_per_round: 4
  comm_round: 10
  epochs: 1
  batch_size: 10
  client_optimizer: sgd
  learning_rate: 0.03
  weight_decay: 0.001

validation_args:
  frequency_of_the_test: 1

device_args:
  worker_num: 4
  using_gpu: false
  gpu_mapping_file: config/gpu_mapping.yaml
  gpu_mapping_key: mapping_config1_5

comm_args:
  backend: "MQTT_S3"
  mqtt_config_path:
  s3_config_path:
  grpc_ipconfig_path: ./config/grpc_ipconfig.csv

tracking_args:
  enable_wandb: false

attack_args:
  enable_attack: true
  attack_type: byzantine
  attack_mode: random
  byzantine_client_num: 1


defense_args:
  enable_defense: false

Training Results

At the end of the training, the server window will display the following log:

[FedML-Server @device-id-0] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:203:_on_message_impl] mqtt_s3 receive msg deviceType 
[FedML-Server @device-id-0] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:238:_on_message_impl] mqtt_s3.on_message: not use s3 pack
[FedML-Server @device-id-0] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:188:_notify] mqtt_s3.notify: msg type = 5
[FedML-Server @device-id-0] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_comm_manager.py:39:receive_message] receive_message. msg_type = 5, sender_id = 3, receiver_id = 0
[FedML-Server @device-id-0] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_server_manager.py:163:handle_message_client_status_update] received client status FINISHED
[FedML-Server @device-id-0] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_server_manager.py:150:process_finished_status] sender_id = 3, all_client_is_finished = True
[FedML-Server @device-id-0] [Thu, 02 Nov 2023 07:44:00] [INFO] [fedml_comm_manager.py:67:finish] __finish
[FedML-Server @device-id-0] [Thu, 02 Nov 2023 07:44:00] [INFO] [mqtt_s3_multi_clients_comm_manager.py:332:stop_receive_message] mqtt_s3.stop_receive_message: stopping...
[FedML-Server @device-id-0] [Thu, 02 Nov 2023 07:44:00] [INFO] [fedml_comm_manager.py:29:run] finished...

At the end of the training, the client 1 window will display the following log:

[FedML-Client @device-id-1] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:188:_notify] mqtt_s3.notify: msg type = 2
[FedML-Client @device-id-1] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_comm_manager.py:39:receive_message] receive_message. msg_type = 2, sender_id = 0, receiver_id = 1
[FedML-Client @device-id-1] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:124:handle_message_receive_model_from_server] handle_message_receive_model_from_server.
[FedML-Client @device-id-1] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:135:handle_message_receive_model_from_server] current round index 10, total rounds 10
[FedML-Client @device-id-1] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:175:send_client_status] send_client_status
[FedML-Client @device-id-1] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:176:send_client_status] self.client_real_id = 1
[FedML-Client @device-id-1] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:317:send_message] mqtt_s3.send_message: MQTT msg sent
[FedML-Client @device-id-1] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_comm_manager.py:67:finish] __finish
[FedML-Client @device-id-1] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:332:stop_receive_message] mqtt_s3.stop_receive_message: stopping...
[FedML-Client @device-id-1] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_comm_manager.py:29:run] finished...

At the end of the training, the client 2 window will display the following log:

[FedML-Client @device-id-2] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:188:_notify] mqtt_s3.notify: msg type = 2
[FedML-Client @device-id-2] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_comm_manager.py:39:receive_message] receive_message. msg_type = 2, sender_id = 0, receiver_id = 2
[FedML-Client @device-id-2] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:124:handle_message_receive_model_from_server] handle_message_receive_model_from_server.
[FedML-Client @device-id-2] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:135:handle_message_receive_model_from_server] current round index 10, total rounds 10
[FedML-Client @device-id-2] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:175:send_client_status] send_client_status
[FedML-Client @device-id-2] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:176:send_client_status] self.client_real_id = 2
[FedML-Client @device-id-2] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:317:send_message] mqtt_s3.send_message: MQTT msg sent
[FedML-Client @device-id-2] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_comm_manager.py:67:finish] __finish
[FedML-Client @device-id-2] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:332:stop_receive_message] mqtt_s3.stop_receive_message: stopping...
[FedML-Client @device-id-2] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_comm_manager.py:29:run] finished...

At the end of the training, the client 3 window will display the following log:

[FedML-Client @device-id-3] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:188:_notify] mqtt_s3.notify: msg type = 2
[FedML-Client @device-id-3] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_comm_manager.py:39:receive_message] receive_message. msg_type = 2, sender_id = 0, receiver_id = 3
[FedML-Client @device-id-3] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:124:handle_message_receive_model_from_server] handle_message_receive_model_from_server.
[FedML-Client @device-id-3] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:135:handle_message_receive_model_from_server] current round index 10, total rounds 10
[FedML-Client @device-id-3] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:175:send_client_status] send_client_status
[FedML-Client @device-id-3] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:176:send_client_status] self.client_real_id = 3
[FedML-Client @device-id-3] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:317:send_message] mqtt_s3.send_message: MQTT msg sent
[FedML-Client @device-id-3] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_comm_manager.py:67:finish] __finish
[FedML-Client @device-id-3] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:332:stop_receive_message] mqtt_s3.stop_receive_message: stopping...
[FedML-Client @device-id-3] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_comm_manager.py:29:run] finished...

At the end of the training, the client 4 window will display the following log:

[[FedML-Client @device-id-4] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:188:_notify] mqtt_s3.notify: msg type = 2
[FedML-Client @device-id-4] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_comm_manager.py:39:receive_message] receive_message. msg_type = 2, sender_id = 0, receiver_id = 4
[FedML-Client @device-id-4] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:124:handle_message_receive_model_from_server] handle_message_receive_model_from_server.
[FedML-Client @device-id-4] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:135:handle_message_receive_model_from_server] current round index 10, total rounds 10
[FedML-Client @device-id-4] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:175:send_client_status] send_client_status
[FedML-Client @device-id-4] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_client_master_manager.py:176:send_client_status] self.client_real_id = 4
[FedML-Client @device-id-4] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:317:send_message] mqtt_s3.send_message: MQTT msg sent
[FedML-Client @device-id-4] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_comm_manager.py:67:finish] __finish
[FedML-Client @device-id-4] [Thu, 02 Nov 2023 07:43:55] [INFO] [mqtt_s3_multi_clients_comm_manager.py:332:stop_receive_message] mqtt_s3.stop_receive_message: stopping...
[FedML-Client @device-id-4] [Thu, 02 Nov 2023 07:43:55] [INFO] [fedml_comm_manager.py:29:run] finished...