update samples.

Author: alexliang

devops/scripts/build-docs.sh

@@ -1,6 +1,5 @@
 #!/usr/bin/env bash
 
-WORKSPACE=./
 wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
 bash miniconda.sh -b -p $WORKSPACE/miniconda
 hash -r

python/examples/cross_silo/mqtt_s3_fedavg_mnist_lr_example/custom_data_and_model/config/fedml_config.yaml

@@ -40,15 +40,12 @@ device_args:
   gpu_mapping_key: mapping_default
 
 comm_args:
-  #backend: "MQTT_IPFS"
   backend: "MQTT_S3"
   mqtt_config_path: config/mqtt_config.yaml
   s3_config_path: config/s3_config.yaml
   # If you want to use your customized MQTT or s3 server as training backends, you should uncomment and set the following lines.
   #customized_training_mqtt_config: {'BROKER_HOST': 'your mqtt server address or domain name', 'MQTT_PWD': 'your mqtt password', 'BROKER_PORT': 1883, 'MQTT_KEEPALIVE': 180, 'MQTT_USER': 'your mqtt user'}
   #customized_training_s3_config: {'CN_S3_SAK': 'your s3 aws_secret_access_key', 'CN_REGION_NAME': 'your s3 region name', 'CN_S3_AKI': 'your s3 aws_access_key_id', 'BUCKET_NAME': 'your s3 bucket name'}
-  #customized_training_ipfs_config: {'token': 'your ipfs token at web3.storage', 'upload_uri': 'https://api.web3.storage/upload', 'download_uri': 'ipfs.w3s.link', }
-  #customized_training_ipfs_config: {'token': 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkaWQ6ZXRocjoweERiNzY5OTdGRUFBRjg3QjY0RDc3MWZBYjg2RUExMTg2ODRBOEI0MTUiLCJpc3MiOiJ3ZWIzLXN0b3JhZ2UiLCJpYXQiOjE2NjM0OTkwNzQ3MzQsIm5hbWUiOiJmZWRtbC13ZWIzIn0.VV8WHJaqe8cbShek8warIGFbS55KOUfpgtLMRevPIIY', 'upload_uri': 'https://api.web3.storage/upload', 'download_uri': 'ipfs.w3s.link', }
 
 tracking_args:
   # the default log path is at ~/fedml-client/fedml/logs/ and ~/fedml-server/fedml/logs/

python/examples/cross_silo/mqtt_s3_fedavg_mnist_lr_example/custom_data_and_model/torch_client.py

@@ -4,7 +4,6 @@
 from fedml import FedMLRunner
 import fedml
 from fedml.data.MNIST.data_loader import download_mnist, load_partition_data_mnist
-from fedml.core.alg_frame.context import Context
 
 
 def load_data(args):
@@ -59,8 +58,6 @@ def forward(self, x):
 
 
 if __name__ == "__main__":
-    Context().add("ipfs_secret_key", "12345678123456781234567812345678")
-
     # init FedML framework
     args = fedml.init()
 

python/examples/cross_silo/mqtt_s3_fedavg_mnist_lr_example/custom_data_and_model/torch_server.py

@@ -3,7 +3,6 @@
 import fedml
 from fedml import FedMLRunner
 from fedml.data.MNIST.data_loader import download_mnist, load_partition_data_mnist
-from fedml.core.alg_frame.context import Context
 
 
 def load_data(args):
@@ -58,8 +57,6 @@ def forward(self, x):
 
 
 if __name__ == "__main__":
-    Context().add("ipfs_secret_key", "12345678123456781234567812345678")
-
     # init FedML framework
     args = fedml.init()