A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain-Reference-Cited by-同舟云学术

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A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain

Published:2024-03-20 Issue: Volume: Page:
ISSN:
Container-title:2024 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
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Author:

Folino Francesco¹,Folino Gianluigi¹,Pisani Francesco Sergio¹,Sabatino Pietro¹,Pontieri Luigi¹

Affiliation:

1. ICAR-CNR,Rende,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10495317/10495535/10495547.pdf?arnumber=10495547

Reference28 articles.

1. A survey on data‐efficient algorithms in big data era

2. Green Federated Learning via Energy-Aware Client Selection

3. Green federated learning;Yousefpour;arXiv preprint,2023

4. HED-FL: A hierarchical, energy efficient, and dynamic approach for edge Federated Learning

5. Adaptive Vertical Federated Learning on Unbalanced Features

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An innovative multi-agent approach for robust cyber–physical systems using vertical federated learning;Ad Hoc Networks;2024-10

2. Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques;Journal of Big Data;2024-05-28

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