Fairness and Privacy-Preserving in Federated Learning: A Survey
Authors: Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae | Published: 2023-06-14 | Updated: 2023-07-14
連合学習
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning
Authors: Tanguy Marchand, Régis Loeb, Ulysse Marteau-Ferey, Jean Ogier du Terrail, Arthur Pignet | Published: 2023-06-13
AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning
Authors: Ghada Almashaqbeh, Zahra Ghodsi | Published: 2023-06-12
Differentially private sliced inverse regression in the federated paradigm
Authors: Shuaida He, Jiarui Zhang, Xin Chen | Published: 2023-06-10 | Updated: 2023-08-10
FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users
Authors: Yogachandran Rahulamathavan, Charuka Herath, Xiaolan Liu, Sangarapillai Lambotharan, Carsten Maple | Published: 2023-06-08 | Updated: 2024-10-06
Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency
Authors: Jinyin Chen, Mingjun Li, Tao Liu, Haibin Zheng, Yao Cheng, Changting Lin | Published: 2022-06-11
Deep Leakage from Model in Federated Learning
Authors: Zihao Zhao, Mengen Luo, Wenbo Ding | Published: 2022-06-10
Leveraging Centric Data Federated Learning Using Blockchain For Integrity Assurance
Authors: Riadh Ben Chaabene, Darine Amayed, Mohamed Cheriet | Published: 2022-06-09
Analytical Composition of Differential Privacy via the Edgeworth Accountant
Authors: Hua Wang, Sheng Gao, Huanyu Zhang, Milan Shen, Weijie J. Su | Published: 2022-06-09
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation
Authors: Qian Chen, Zilong Wang, Jiawei Chen, Haonan Yan, Xiaodong Lin | Published: 2022-06-08