Privacy and Efficiency of Communications in Federated Split Learning

Privacy and Efficiency of Communications in Federated Split Learning

4 January 2023

Flavio Esposito

Papers citing "Privacy and Efficiency of Communications in Federated Split Learning"

13 / 13 papers shown

Title
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning Phung Lai Xiaopeng Jiang Hai Phan Cristian Borcea K. Tran An M. Chen Vijaya Datta Mayyuri Ruoming Jin FedML MQ 55 0 0 17 Apr 2025
PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks Huzaifa Arif K. Murugesan Payel Das Alex Gittens Pin-Yu Chen AAML 26 0 0 08 Apr 2025
The Impact of Cut Layer Selection in Split Federated Learning Justin Dachille Chao Huang Xin Liu FedML 83 0 0 20 Dec 2024
Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack Guanzhong Chen Zhenghan Qin Mingxin Yang Yajie Zhou Tao Fan Tianyu Du Zenglin Xu AAML 43 4 0 02 Sep 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
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 58 9 0 06 Feb 2024
Workflow Optimization for Parallel Split Learning Joana Tirana Dimitra Tsigkari Georgios Iosifidis Dimitris Chatzopoulos 14 4 0 01 Feb 2024
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach Seyed Mahmoud Sajjadi Mohammadabadi Syed Zawad Feng Yan Lei Yang FedML 17 7 0 09 Dec 2023
Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning Senior Member Ieee Joohyung Lee Mohamed Seif Jungchan Cho L. F. I. H. Vincent Poor 23 7 0 15 Nov 2023
An Overview on Generative AI at Scale with Edge-Cloud Computing Yun Cheng Wang Jintang Xue Chengwei Wei C.-C. Jay Kuo 24 30 0 02 Jun 2023
When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework Xinjing Yuan Lingjun Pu Lei Jiao Xiaofei Wang Mei Yang Jingdong Xu FedML 17 4 0 22 May 2023
A Comprehensive Survey on Federated Learning: Concept and Applications Dhurgham Hassan Mahlool Mohammed Hamzah Abed FedML 23 22 0 23 Jan 2022
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 144 348 0 25 Sep 2021