Multi-Model-Based Federated Learning to Overcome Local Class Imbalance Issues
Author:
Affiliation:
1. New Mexico State University,Las Cruces,New Mexico,USA
2. DEVCOM Analysis Center, WSMR,New Mexico,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459829.pdf?arnumber=10459829
Reference19 articles.
1. Communication-efficient learning of deep networks from decentralized data;Brendan,2017
2. Federated mimic learning for privacy preserving intrusion detection;Ali Al-Athba Al-Marri;IEEE (BlackSeaCom),2020
3. FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT
4. Line-speed and scalable intrusion detection at the network edge via federated learning;Qin
5. Federated-Learning-Based Anomaly Detection for IoT Security Attacks
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