Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability
Authors: Mukesh Sahani, Binanda Sengupta | Published: 2025-03-10 | Updated: 2025-04-15
Distributed Learning
SoK: Decentralized AI (DeAI)
Authors: Zhipeng Wang, Rui Sun, Elizabeth Lui, Vatsal Shah, Xihan Xiong, Jiahao Sun, Davide Crapis, William Knottenbelt | Published: 2024-11-26 | Updated: 2025-04-16
Combined Learning of Neural Network Weights for Privacy in Collaborative Tasks
Authors: Aline R. Ioste, Alan M. Durham, Marcelo Finger | Published: 2022-04-30
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection
Authors: Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann | Published: 2022-04-08
Towards Privacy-Preserving and Verifiable Federated Matrix Factorization
Authors: Xicheng Wan, Yifeng Zheng, Qun Li, Anmin Fu, Mang Su, Yansong Gao | Published: 2022-04-04 | Updated: 2022-06-11
ScaleSFL: A Sharding Solution for Blockchain-Based Federated Learning
Authors: Evan Madill, Ben Nguyen, Carson K. Leung, Sara Rouhani | Published: 2022-04-04
Byzantine-Robust Federated Linear Bandits
Authors: Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian | Published: 2022-04-03
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning
Authors: Ziyao Liu, Jiale Guo, Kwok-Yan Lam, Jun Zhao | Published: 2022-03-31
Federated Learning with Heterogeneous Differential Privacy
Authors: Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami | Published: 2021-10-28 | Updated: 2023-01-14
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis
Authors: Yi Liu, Yuanshao Zhu, James J. Q. Yu | Published: 2021-10-14