FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method
Authors: Shihua Sun, Pragya Sharma, Kenechukwu Nwodo, Angelos Stavrou, Haining Wang | Published: 2024-08-13
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FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning
Authors: Yousef Alsenani, Rahul Mishra, Khaled R. Ahmed, Atta Ur Rahman | Published: 2024-02-14
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Authors: Kang Wei, Jun Li, Chuan Ma, Ming Ding, Feng Shu, Haitao Zhao, Wen Chen, Hongbo Zhu | Published: 2023-04-09 | Updated: 2023-12-21
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks
Authors: Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano, Aitor Urbieta, Urko Zurutuza | Published: 2023-03-28 | Updated: 2023-07-27
A Snapshot of the Frontiers of Client Selection in Federated Learning
Authors: Gergely Dániel Németh, Miguel Ángel Lozano, Novi Quadrianto, Nuria Oliver | Published: 2022-09-27 | Updated: 2023-01-02
Power up! Robust Graph Convolutional Network via Graph Powering
Authors: Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi | Published: 2019-05-24 | Updated: 2021-09-21
Defining a Metric Space of Host Logs and Operational Use Cases
Authors: Miki E. Verma, Robert A. Bridges | Published: 2018-11-01