Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption
Authors: Yang Gao, Gang Quan, Wujie Wen, Scott Piersall, Qian Lou, Liqiang Wang | Published: 2026-03-05
Secure Aggregation
PTOPOFL: Privacy-Preserving Personalised Federated Learning via Persistent Homology
Authors: Kelly L Vomo-Donfack, Adryel Hoszu, Grégory Ginot, Ian Morilla | Published: 2026-03-04
Understanding the Resource Cost of Fully Homomorphic Encryption in Quantum Federated Learning
Authors: Lukas Böhm, Arjhun Swaminathan, Anika Hannemann, Erik Buchmann | Published: 2026-03-03
Protection against Source Inference Attacks in Federated Learning
Authors: Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi | Published: 2026-03-02
EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning
Authors: Zhen Li, Zijian Zhang, Wenjin Yang, Pengbo Wang, Zhaoqi Wang, Meng Li, Yan Wu, Xuyang Liu, Jing Sun, Liehuang Zhu | Published: 2025-09-16
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?
Authors: Ahmed Roushdy Elkordy, Jiang Zhang, Yahya H. Ezzeldin, Konstantinos Psounis, Salman Avestimehr | Published: 2022-08-03
Robust Quantity-Aware Aggregation for Federated Learning
Authors: Jingwei Yi, Fangzhao Wu, Huishuai Zhang, Bin Zhu, Tao Qi, Guangzhong Sun, Xing Xie | Published: 2022-05-22 | Updated: 2023-07-26
Collaborative Drug Discovery: Inference-level Data Protection Perspective
Authors: Balazs Pejo, Mina Remeli, Adam Arany, Mathieu Galtier, Gergely Acs | Published: 2022-05-13 | Updated: 2022-06-09
Symbolic analysis meets federated learning to enhance malware identifier
Authors: Khanh Huu The Dam, Charles-Henry Bertrand Van Ouytsel, Axel Legay | Published: 2022-04-29
A Secure Federated Learning Framework for 5G Networks
Authors: Yi Liu, Jialiang Peng, Jiawen Kang, Abdullah M. Iliyasu, Dusit Niyato, Ahmed A. Abd El-Latif | Published: 2020-05-12