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Martin Isaksson
martisak.gitlab.io
Commits
7102b738
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Commit
7102b738
authored
5 years ago
by
Martin Isaksson
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<div
class=
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<div
class=
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<div
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<h2>
Abstract
</h2>
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{{ content }}
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<h2>
Suggested Citation
</h2>
<!--<pre class="bibtex">{{- page.bibtex -}}</pre>-->
{% highlight bibtex %}{{page.bibtex}}{% endhighlight %}
<h2>
Available
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<a
href=
"{{ page.online }}"
>
{{page.title}}
</a>
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---
title
:
Secure Federated Learning in 5G Mobile Networks
author
:
M. Isaksson, K. Norrman
in
:
To appear in Arxiv
in
:
WASP Winter Conference
2020
tags
:
-
federated learning-
-
machine learning-
-
security protocol
-
privacy
date
:
20
19-09-28
date
:
20
20-01-14
online
:
https://arxiv.org/
bibtex
:
|
@misc{8369000,
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number={},
}
image
:
path
:
/images/
network
.jpg
path
:
/images/
blog-ai
.jpg
---
## Background
This is a video for a technical report done for the 2020 WASP Project Course.
## Abstract
Machine Learning is an important enabler for
optimizing, securing and managing mobile networks. This leads to increased
collection and processing of data from network functions, which in turn may
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confidentiality of local updates. We also outline how our work can be fitted
into the WARA-PS research arena.
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width=
"800"
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src=
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frameborder=
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allow=
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allowfullscreen
></iframe>
<p><iframe
width=
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height=
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src=
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frameborder=
"0"
allow=
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allowfullscreen
></iframe></p>
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