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Original file line number | Diff line number | Diff line change |
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# Configuration file of running tensorflow backend | ||
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# ========== Cluster configuration ========== | ||
# ip address of the parameter server (need 1 GPU process) | ||
ps_ip: localhost | ||
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exp_path: $FEDSCALE_HOME/fedscale/cloud | ||
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aggregator_entry: aggregation/aggregator_mnn.py | ||
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auth: | ||
ssh_user: "" | ||
ssh_private_key: ~/.ssh/id_rsa | ||
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# cmd to run before we can indeed run FAR (in order) | ||
setup_commands: | ||
- source $HOME/anaconda3/bin/activate fedscale | ||
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# ========== Additional job configuration ========== | ||
# Default parameters are specified in config_parser.py, wherein more description of the parameter can be found | ||
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job_conf: | ||
- job_name: android-mnn # Generate logs under this folder: log_path/job_name/time_stamp | ||
- log_path: $FEDSCALE_HOME/benchmark # Path of log files | ||
- experiment_mode: mobile | ||
- num_participants: 1 # Number of participants per round, we use K=100 in our paper, large K will be much slower | ||
- model: linear # Need to define the model in aggregator_mnn.py | ||
- learning_rate: 0.01 | ||
- batch_size: 32 | ||
- input_shape: 32 32 3 | ||
- num_classes: 10 | ||
- test_bsz: 16 |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,33 @@ | ||
# Configuration file of running tensorflow backend | ||
|
||
# ========== Cluster configuration ========== | ||
# ip address of the parameter server (need 1 GPU process) | ||
ps_ip: localhost | ||
|
||
exp_path: $FEDSCALE_HOME/fedscale/cloud | ||
|
||
aggregator_entry: aggregation/aggregator_tflite.py | ||
|
||
auth: | ||
ssh_user: "" | ||
ssh_private_key: ~/.ssh/id_rsa | ||
|
||
# cmd to run before we can indeed run FAR (in order) | ||
setup_commands: | ||
- source $HOME/anaconda3/bin/activate fedscale | ||
|
||
# ========== Additional job configuration ========== | ||
# Default parameters are specified in config_parser.py, wherein more description of the parameter can be found | ||
|
||
job_conf: | ||
- job_name: android-tflite # Generate logs under this folder: log_path/job_name/time_stamp | ||
- log_path: $FEDSCALE_HOME/benchmark # Path of log files | ||
- experiment_mode: mobile | ||
- num_participants: 1 # Number of participants per round, we use K=100 in our paper, large K will be much slower | ||
- model: linear # Need to define the model in tf_aggregator.py | ||
- learning_rate: 0.01 | ||
- batch_size: 32 | ||
- input_shape: 32 32 3 | ||
- num_classes: 10 | ||
- test_bsz: 16 | ||
- engine: 'tensorflow' |
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