Handbook of Trustworthy Federated Learning
Editor
- My T. Thai(University of Florida)Hai N. Phan(New Jersey Institute of Technology)Bhavani Thuraisingham(The University of Texas at Dallas)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), 2025. "Handbook of Trustworthy Federated Learning," Springer Optimization and Its Applications, Springer, number 978-3-031-58923-2, December.
Handle: RePEc:spr:spopap:978-3-031-58923-2
DOI: 10.1007/978-3-031-58923-2
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Book Chapters
The following chapters of this book are listed in IDEAS- Sisi Zhou & Lijun Xiao & Yufeng Xiao & Meikang Qiu, 2025. "Trustworthiness, Privacy, and Security in Federated Learning," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 3-38, Springer.
- Bo Tang & Xingyu Li, 2025. "Secure Federated Learning," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 39-71, Springer.
- Wenqi Wei & Tiansheng Huang & Zachary Yahn & Anoop Singhal & Margaret Loper & Ling Liu, 2025. "Data Poisoning and Leakage Analysis in Federated Learning," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 73-108, Springer.
- Priyesh Ranjan & Ashish Gupta & Sajal K. Das, 2025. "Robust Federated Learning Against Targeted Attackers Using Model Updates Correlation," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 109-147, Springer.
- Nicholas Furth & Abdallah Khreishah & Guanxiong Liu & NhatHai Phan & Yasser Jararweh, 2025. "Unfair Trojan: Targeted Backdoor Attacks Against Model Fairness," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 149-168, Springer.
- Hongchang Gao, 2025. "Federated Bilevel Optimization," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 171-195, Springer.
- Maciej Rysz & Guanglin Xu & Alexander Semenov, 2025. "A Two-Stage Stochastic Programming Approach for the Key Management q-Composite Scheme," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 197-219, Springer.
- Tre’ R. Jeter & My T. Thai, 2025. "Recent Advances in Federated Graph Learning," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 223-257, Springer.
- Phung Lai & C. Ariel Pinto, 2025. "Privacy in Federated Learning Natural Language Models," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 259-287, Springer.
- Tengfei Ma & Jie Chen & Trong Nghia Hoang, 2025. "Federated Learning of Models Pretrained on Different Features with Consensus Graphs," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 289-319, Springer.
- Dongxiao Yu & Xiao Zhang & Hanshu He & Shuzhen Chen & Jing Qiao & Yangyang Wang & Xiuzhen Cheng, 2025. "Robust Federated Learning for Edge Intelligence," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 323-366, Springer.
- Xiaopeng Jiang & Hessamaldin Mohammadi & Cristian Borcea & NhatHai Phan, 2025. "ZoneFL: Zone-Based Federated Learning at the Edge," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 367-391, Springer.
- Anantaa Kotal & Sai Sree Laya Chukkapalli & Anupam Joshi, 2025. "Synthetic Data for Privacy Preservation in Distributed Data Analysis Systems," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 393-407, Springer.
- Minsu Kim & Walid Saad, 2025. "Toward Green Federated Learning," Springer Optimization and Its Applications, in: My T. Thai & Hai N. Phan & Bhavani Thuraisingham (ed.), Handbook of Trustworthy Federated Learning, pages 409-428, Springer.
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