diff --git a/README.md b/README.md
index 38a72106477323daeed5356f293c82cac12c500f..2a1fc63eb85bc4aac97b1178a0448700f4554580 100644
--- a/README.md
+++ b/README.md
@@ -19,7 +19,7 @@ In PaddleFL, horizontal and vertical federated learning strategies will be imple
 
 - **Vertical Federated Learning**: Logistic Regression with PrivC, Neural Network with third-party PrivC [5]
 
-- **Horizontal Federated Learning**: Federated Averaging [2], Differential Privacy [6]
+- **Horizontal Federated Learning**: Federated Averaging [2], Differential Privacy [6], Secure Aggregation
 
 #### Training Strategy
 
@@ -38,7 +38,7 @@ In PaddleFL, components for defining a federated learning task and training a fe
 
 #### Compile Time
 
-- **FL-Strategy**: a user can define federated learning strategies with FL-Strategy such as Fed-Avg[1]
+- **FL-Strategy**: a user can define federated learning strategies with FL-Strategy such as Fed-Avg[2]
 
 - **User-Defined-Program**: PaddlePaddle's program that defines the machine learning model structure and training strategies such as multi-task learning.
 
diff --git a/README_cn.md b/README_cn.md
index aa0bf2c55dca0d4b909a542800bbc8d2f9279a63..2ab1330c106cc9634bbbf0d0d9902e691485463f 100644
--- a/README_cn.md
+++ b/README_cn.md
@@ -16,7 +16,7 @@ PaddleFL是一个基于PaddlePaddle的开源联邦学习框架。研究人员可
 
 - **纵向联邦学习**: 带privc的逻辑回归，带第三方privc的神经网络[5]
 
-- **横向联邦学习**: 联邦平均 [2]，差分隐私 [6]
+- **横向联邦学习**: 联邦平均 [2]，差分隐私 [6]，安全聚合
 
 #### 训练策略
 
@@ -35,7 +35,7 @@ PaddleFL是一个基于PaddlePaddle的开源联邦学习框架。研究人员可
 
 #### 编译时
 
-- **FL-Strategy**: 用户可以使用FL-Strategy定义联邦学习策略，例如Fed-Avg[1]。
+- **FL-Strategy**: 用户可以使用FL-Strategy定义联邦学习策略，例如Fed-Avg[2]。
 
 - **User-Defined-Program**: PaddlePaddle的程序定义了机器学习模型结构和训练策略，如多任务学习。