From f4ce830772a35e20331eed33efc84302cd6ae87a Mon Sep 17 00:00:00 2001
From: BALELLI Irene <irene.balelli@inria.fr>
Date: Tue, 5 Jan 2021 17:20:45 +0100
Subject: [PATCH] Update introduction.md

---
 federated_learning/introduction.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/federated_learning/introduction.md b/federated_learning/introduction.md
index cd92ccb..d040907 100644
--- a/federated_learning/introduction.md
+++ b/federated_learning/introduction.md
@@ -55,3 +55,7 @@ The main challenges in FL are associated to:
 2. **Li, T., Sahu, et al. (2018).** *Federated optimization in heterogeneous networks.* arXiv preprint arXiv:1812.06127.
 
 3. **Li, T., Sahu, A. K., Talwalkar, A., & Smith, V. (2020).** *Federated learning: Challenges, methods, and future directions*. IEEE Signal Processing Magazine, 37(3), 50-60.
+
+## Link
+
+[Presentation material](https://ecaad164-c957-4008-a451-5e1098ff8953.filesusr.com/ugd/68a50d_fde15d344a304042b500587285e57abc.pdf)
-- 
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