Security and Resilience in Distributed Machine Learning
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Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-032-23959-4
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Book Chapters
The following chapters of this book are listed in IDEAS- Kai Li & Xin Yuan & Wei Ni, 2026. "Introduction to Federated Learning," Springer Series in Reliability Engineering, in: Security and Resilience in Distributed Machine Learning, chapter 1, pages 3-8, Springer.
- Kai Li & Xin Yuan & Wei Ni, 2026. "Threat Landscape in Federated Learning," Springer Series in Reliability Engineering, in: Security and Resilience in Distributed Machine Learning, chapter 2, pages 9-18, Springer.
- Kai Li & Xin Yuan & Wei Ni, 2026. "Resilience and Security of Graph-Based Federated Learning," Springer Series in Reliability Engineering, in: Security and Resilience in Distributed Machine Learning, chapter 3, pages 19-27, Springer.
- Kai Li & Xin Yuan & Wei Ni, 2026. "Model Poisoning via Variational Graph Representations," Springer Series in Reliability Engineering, in: Security and Resilience in Distributed Machine Learning, chapter 4, pages 31-51, Springer.
- Kai Li & Xin Yuan & Wei Ni, 2026. "Biasing Federated Learning Based on Adversarial Graph Attention Networks," Springer Series in Reliability Engineering, in: Security and Resilience in Distributed Machine Learning, chapter 5, pages 53-79, Springer.
- Kai Li & Xin Yuan & Wei Ni, 2026. "Data-Agnostic MP Techniques," Springer Series in Reliability Engineering, in: Security and Resilience in Distributed Machine Learning, chapter 6, pages 81-111, Springer.
- Kai Li & Xin Yuan & Wei Ni, 2026. "Privacy-Aware Wireless Federated Learning," Springer Series in Reliability Engineering, in: Security and Resilience in Distributed Machine Learning, chapter 7, pages 115-148, Springer.
- Kai Li & Xin Yuan & Wei Ni, 2026. "Exploring Visual Explanations for Attack Detection," Springer Series in Reliability Engineering, in: Security and Resilience in Distributed Machine Learning, chapter 8, pages 149-176, Springer.
- Kai Li & Xin Yuan & Wei Ni, 2026. "Privacy-Utility Trade-Off in Federated Learning," Springer Series in Reliability Engineering, in: Security and Resilience in Distributed Machine Learning, chapter 9, pages 177-207, Springer.
- Kai Li & Xin Yuan & Wei Ni, 2026. "Integrating Graph Neural Networks with Federated Learning," Springer Series in Reliability Engineering, in: Security and Resilience in Distributed Machine Learning, chapter 10, pages 211-216, Springer.
- Kai Li & Xin Yuan & Wei Ni, 2026. "Towards Fully Explainable Federated Learning," Springer Series in Reliability Engineering, in: Security and Resilience in Distributed Machine Learning, chapter 11, pages 217-223, Springer.
- Kai Li & Xin Yuan & Wei Ni, 2026. "Sustainability in Federated Learning," Springer Series in Reliability Engineering, in: Security and Resilience in Distributed Machine Learning, chapter 12, pages 225-234, Springer.
- Kai Li & Xin Yuan & Wei Ni, 2026. "Summary and Outlook," Springer Series in Reliability Engineering, in: Security and Resilience in Distributed Machine Learning, chapter 13, pages 235-238, Springer.
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