update released version (#569)

alibaba · Apr 3, 2023 · 0f172fa · 0f172fa
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diff --git a/README.md b/README.md
@@ -17,6 +17,7 @@ You can try FederatedScope via [FederatedScope Playground](https://try.federated
 | [Code Structure](#code-structure) | [Quick Start](#quick-start) | [Advanced](#advanced) | [Documentation](#documentation) | [Publications](#publications) | [Contributing](#contributing) | 
 
 ## News
+- ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png) [04-03-2023] We release FederatedScope v0.3.0!
 - ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png) [02-10-2022] Our [paper](https://arxiv.org/pdf/2204.05011.pdf) elaborating on FederatedScope is accepted by VLDB'23!
 - ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png) [10-05-2022] Our benchmark paper for personalized FL, [pFL-Bench](https://arxiv.org/abs/2206.03655) has been accepted by NeurIPS'22, Dataset and Benchmark Track!
 - ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png) [08-18-2022] Our KDD 2022 [paper](https://arxiv.org/abs/2204.05562) on federated graph learning receives the KDD Best Paper Award for ADS track!

diff --git a/federatedscope/__init__.py b/federatedscope/__init__.py
@@ -1,6 +1,6 @@
 from __future__ import absolute_import, division, print_function
 
-__version__ = '0.2.1'
+__version__ = '0.3.0'
 
 
 def _setup_logger():

diff --git a/setup.py b/setup.py
@@ -3,7 +3,7 @@
 import setuptools
 
 __name__ = 'federatedscope'
-__version__ = '0.2.1'
+__version__ = '0.3.0'
 URL = 'https://github.com/alibaba/FederatedScope'
 
 minimal_requires = [