Unverified Commit f42b9de5 authored by Martin Isaksson's avatar Martin Isaksson
Browse files

Description for FL publication

parent eff2bc3d
Pipeline #154973729 passed with stage
in 5 minutes and 3 seconds
......@@ -27,7 +27,7 @@ bibtex: |
month = {April},
day = 14
}
description: A secure integration of Federated Learning in the 3GPP 5G Network Data Analytics framework.
---
Machine Learning (ML) 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 increase threats to sensitive end-user information. Consequently, mechanisms to reduce threats to end-user privacy are needed to take full advantage of ML. We seamlessly integrate Federated Learning (FL) into the 3GPP 5G Network Data Analytics (NWDA) architecture, and add a Multi-Party Computation (MPC) protocol for protecting the confidentiality of local updates. We evaluate the protocol and find that it has much lower overhead than previous work, without affecting ML performance.
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment