未验证 提交 9544170e 编写于 作者: D Dong Daxiang 提交者: GitHub

Merge pull request #48 from qjing666/master

Document update
......@@ -70,12 +70,18 @@ You can also refer [K8S cluster application and kubectl installation](./paddle_f
## Benchmark task
Gru4Rec [9] introduces recurrent neural network model in session-based recommendation. PaddlePaddle's Gru4Rec implementation is in https://github.com/PaddlePaddle/models/tree/develop/PaddleRec/gru4rec. An example is given in [Gru4Rec in Federated Learning](https://paddlefl.readthedocs.io/en/latest/examples/gru4rec_examples.html)
## Release note
## On Going and Future Work
- Experimental benchmark with public datasets in federated learning settings.
- v0.2.0 released
- Support Kubernetes easy deployment
- Add api for [LEAF](https://arxiv.org/abs/1812.01097) dataset which is in federated settings, supporting benchmark experiments.
- Add FL-scheduler, acting as a central controller during the training phase.
- Add FL-Submitter to support cluster task submission
- Add secure aggregation algorithm
- Support more optimizers in PaddleFL such as Adam
- More examples available
- Federated Learning Systems deployment methods in Kubernetes.
## On Going and Future Work
- Vertical Federated Learning Strategies and more horizontal federated learning strategies will be open sourced.
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......@@ -69,13 +69,17 @@ kubectl apply -f ./paddle_fl/examples/k8s_deployment/master.yaml
Gru4Rec [9] 在基于会话的推荐中引入了递归神经网络模型。PaddlePaddle的GRU4RC实现代码在 https://github.com/PaddlePaddle/models/tree/develop/PaddleRec/gru4rec. 一个基于联邦学习训练Gru4Rec模型的示例请参考[Gru4Rec in Federated Learning](https://paddlefl.readthedocs.io/en/latest/examples/gru4rec_examples.html)
## 版本更新
- v0.2.0 发布
- 支持 Kubernetes 简易部署
- 添加在联邦学习设定下的[LEAF](https://arxiv.org/abs/1812.01097) 公开数据集接口,支持基准的设定
- 添加 FL-scheduler, 在训练过程中充当中心控制器的角色
- 添加 FL-Submitter 功能,支持集群任务部署
- 添加 secure aggregation 算法
- 支持更多的机器学习优化器,例如:Adam
- 增加更多的实际应用例子
## 正在进行的工作
- 联邦学习在公共数据集上的实验基准。
- kubernetes中联邦学习系统的部署方法。
- 垂直联合学习策略和更多的水平联合学习策略将是开源的。
## 参考文献
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......@@ -7,7 +7,7 @@ monitor_cmd=
#train_cmd=python test_hadoop.py
hdfs_path=afs://xingtian.afs.baidu.com:9902
ugi=mlarch,Fv1M87
ugi=your_fs_name, your_ugi
hdfs_output=/user/feed/mlarch/sequence_generator/dongdaxiang/job_44
worker_nodes=2
server_nodes=1
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......@@ -12,5 +12,5 @@
# See the License for the specific language governing permissions and
# limitations under the License.
""" PaddleFL version string """
fl_version = "0.1.11"
module_proto_version = "0.1.11"
fl_version = "0.2.0"
module_proto_version = "0.2.0"
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