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## Overview of PaddleFL ## Overview of PaddleFL
<img src='images/FL-framework.png' width = "1300" height = "310" align="middle"/> <img src='images/FL-framework.png' width = "1300" height = "280" align="middle"/>
In PaddleFL, horizontal and vertical federated learning strategies will be implemented according to the categorization given in [4]. Application demonstrations in natural language processing, computer vision and recommendation will be provided in PaddleFL. In PaddleFL, horizontal and vertical federated learning strategies will be implemented according to the categorization given in [4]. Application demonstrations in natural language processing, computer vision and recommendation will be provided in PaddleFL.
...@@ -29,7 +29,7 @@ In PaddleFL, horizontal and vertical federated learning strategies will be imple ...@@ -29,7 +29,7 @@ In PaddleFL, horizontal and vertical federated learning strategies will be imple
## Framework design of PaddleFL ## Framework design of PaddleFL
<img src='images/FL-training.png' width = "1300" height = "310" align="middle"/> <img src='images/FL-training.png' width = "1300" height = "280" align="middle"/>
In PaddleFL, components for defining a federated learning task and training a federated learning job are as follows: In PaddleFL, components for defining a federated learning task and training a federated learning job are as follows:
...@@ -96,4 +96,4 @@ Gru4Rec [9] introduces recurrent neural network model in session-based recommend ...@@ -96,4 +96,4 @@ Gru4Rec [9] introduces recurrent neural network model in session-based recommend
[8]. Yang Liu, Tianjian Chen, Qiang Yang. **Secure Federated Transfer Learning.** 2018 [8]. Yang Liu, Tianjian Chen, Qiang Yang. **Secure Federated Transfer Learning.** 2018
[9]. Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, Domonkos Tikk. **Session-based Recommendations with Recurrent Neural Networks.** 2016 [9]. Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, Domonkos Tikk. **Session-based Recommendations with Recurrent Neural Networks.** 2016
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