From cd67a082013f8e1c5089905dfd0b44c00e409d7c Mon Sep 17 00:00:00 2001
From: Yiqun Diao <48618508+sjtudyq@users.noreply.github.com>
Date: Sat, 28 Oct 2023 09:39:56 +0800
Subject: [PATCH] Update README.md

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index b428880..4a91e74 100644
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@@ -6,7 +6,7 @@ This code runs a benchmark for federated learning algorithms under non-IID data
 
 
 ## Updates on NIID-Bench
-We build a [leaderboard](https://niidbench.xtra.science) to enable researchers to test their own FL algorithms in our non-IID data partitioning framework. Welcome to submit your code and results in our [website](https://niidbench.xtra.science)!
+We publish NIID-Bench challenge https://niidbench.xtra.science, a benchmark to compare federated learning algorithms on comprehensive non-IID data settings. Researchers are welcome to test their algorithms on these settings, upload their codes and participate in our leaderboard!
 
 Implement `partition.py` to divide tabular datasets (csv format) into multiple files using our non-IID partitioning strategies. Column `Class` in the header is recognized as label. See an running example in `partition_to_file.sh`. The example dataset is [Credit Card Fraud Detection](https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud).