Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction

10 June 2022

Papers citing "Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction"

4 / 4 papers shown

Title
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference Claudio Angione Yue Zhao Harry Yang Ahmad Farhan Fielding Johnston James Buban Patrick Colangelo 42 1 0 29 Jul 2024
Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning Binbin Huang Hailiang Zhao Lingbin Wang Wenzhuo Qian Yuyu Yin Shuiguang Deng 29 0 0 09 Feb 2024
Secure Transformer Inference Protocol Mu Yuan Lan Zhang Xiang-Yang Li 30 3 0 14 Nov 2023
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 23 61 0 20 Jul 2022