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PPML VFL evaluation and predict support (#3714)

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Song Jiaming 2021-12-21 06:30:12 +00:00 committed by GitHub
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docs/readthedocs/source/doc/PPML/Overview/trusted_fl.md
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@ -29,7 +29,46 @@ Key features:
* ID & feature align (optional)
* Weight/Gradient Aggregation in SGX
* Training Worker in SGX
## Example
### Prepare environment
#### SGX
TO ADD
#### Get jar ready
##### Build from source
```bash
git clone https://github.com/intel-analytics/BigDL.git
cd BigDL/scala
./make-dist.sh
```
the jar would be `BigDL/scala/ppml/target/bigdl-ppml...jar-with-dependencies.jar`
##### Download pre-build
```bash
wget
```
#### Config
If deploying PPML on cluster, need to overwrite config `./ppml-conf.yaml`. Default config (localhost:8980) would be used if no `ppml-conf.yaml` exists in the directory.
#### Start FL Server
```bash
java -cp com.intel.analytics.bigdl.ppml.FLServer
```
### HFL Logistic Regression
We provide an example demo in `BigDL/scala/ppml/demo`
```bash
# client 1
java -cp com.intel.analytics.bigdl.ppml.example.HflLogisticRegression -d data/diabetes-hfl-1.csv
# client 2
java -cp com.intel.analytics.bigdl.ppml.example.HflLogisticRegression -d data/diabetes-hfl-2.csv
```
### VFL Logistic Regression
```bash
# client 1
java -cp com.intel.analytics.bigdl.ppml.example.VflLogisticRegression -d data/diabetes-vfl-1.csv
# client 2
java -cp com.intel.analytics.bigdl.ppml.example.VflLogisticRegression -d data/diabetes-vfl-2.csv
```
## References
1. [Intel SGX](https://software.intel.com/content/www/us/en/develop/topics/software-guard-extensions.html)