Combined Federated and Split Learning in Edge Computing for Ubiquitous
Intelligence in Internet of Things: State of the Art and Future Directions

Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions

20 July 2022

Papers citing "Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions"

17 / 17 papers shown

Title
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis Ruijun Deng Zhihui Lu Qiang Duan FedML 34 0 0 14 Apr 2025
Advanced Relay-Based Collaborative Framework for Optimizing Synchronization in Split Federated Learning over Wireless Networks Haoran Gao Samuel D. Okegbile Jun Cai FedML 33 0 0 18 Mar 2025
Federated Learning with Flexible Architectures Jong-Ik Park Carlee Joe-Wong FedML 31 3 0 14 Jun 2024
CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication M. Wazzeh Mohamad Arafeh Hani Sami Hakima Ould-Slimane C. Talhi Azzam Mourad Hadi Otrok FedML 21 3 0 12 May 2024
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 24 9 0 05 Mar 2024
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 9 7 0 15 Nov 2023
Enhancing Accuracy-Privacy Trade-off in Differentially Private Split Learning Ngoc Duy Pham K. Phan Naveen Chilamkurti 11 2 0 22 Oct 2023
Data privacy for Mobility as a Service Zineb Garroussi Antoine Legrain Sébastien Gambs Vincent Gautrais B. Sansò 17 2 0 18 Sep 2023
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics Zhuohang Li Chao Yan Xinmeng Zhang Gharib Gharibi Zhijun Yin Xiaoqian Jiang B. Malin FedML 19 10 0 21 Aug 2023
Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks Aysha Thahsin Zahir Ismail R. Shukla AAML FedML 13 6 0 04 Jul 2023
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing Ervin Moore Ahmed Imteaj S. Rezapour M. Amini 27 18 0 24 Mar 2023
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients Manas Wadhwa Gagan Raj Gupta Ashutosh Sahu Rahul Saini Vidhi Mittal FedML 17 6 0 19 Mar 2023
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy Ngoc Duy Pham Tran Dang Khoa Phan A. Abuadbba Yansong Gao Doan Nguyen Naveen Chilamkurti 18 5 0 01 Dec 2022
Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance Praveen Joshi Chandra Thapa S. Çamtepe M. Hasanuzzamana T. Scully Haithem Afli FedML 29 24 0 19 Sep 2021
Label Leakage and Protection in Two-party Split Learning Oscar Li Jiankai Sun Xin Yang Weihao Gao Hongyi Zhang Junyuan Xie Virginia Smith Chong-Jun Wang FedML 122 135 0 17 Feb 2021
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 40 83 0 22 Jul 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 756 0 28 Sep 2019