Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System
Authors: Timon Rückel, Johannes Sedlmeir, Peter Hofmann | Published: 2021-11-11
Federated Learning
Data privacy protection in microscopic image analysis for material data mining
Authors: Boyuan Ma, Xiang Yin, Xiaojuan Ban, Haiyou Huang, Neng Zhang, Hao Wang, Weihua Xue | Published: 2021-11-09
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection
Authors: Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann | Published: 2021-11-04
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis
Authors: Yi Liu, Yuanshao Zhu, James J. Q. Yu | Published: 2021-10-14
Infinitely Divisible Noise in the Low Privacy Regime
Authors: Rasmus Pagh, Nina Mesing Stausholm | Published: 2021-10-13 | Updated: 2022-03-07
The Skellam Mechanism for Differentially Private Federated Learning
Authors: Naman Agarwal, Peter Kairouz, Ziyu Liu | Published: 2021-10-11 | Updated: 2021-10-29
Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning
Authors: Mohammad Aghapour, Aidin Ferdowsi, Walid Saad | Published: 2021-10-06
A Systematic Survey of Blockchained Federated Learning
Authors: Zhilin Wang, Qin Hu, Minghui Xu, Yan Zhuang, Yawei Wang, Xiuzhen Cheng | Published: 2021-10-05 | Updated: 2024-06-01
SecFL: Confidential Federated Learning using TEEs
Authors: Do Le Quoc, Christof Fetzer | Published: 2021-10-03 | Updated: 2021-10-07
Fairness-Driven Private Collaborative Machine Learning
Authors: Dana Pessach, Tamir Tassa, Erez Shmueli | Published: 2021-09-29