SplitFed: When Federated Learning Meets Split Learning

25 April 2020

Chandra Thapa

Pathum Chamikara Mahawaga Arachchige

Papers citing "SplitFed: When Federated Learning Meets Split Learning"

50 / 74 papers shown

Title
A Taxonomy of Attacks and Defenses in Split Learning Aqsa Shabbir Halil Ibrahim Kanpak Alptekin Küpçü Sinem Sav 43 0 0 09 May 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 51 0 0 08 May 2025
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Zheng Lin Yuxin Zhang Zhe Chen Zihan Fang Xianhao Chen Praneeth Vepakomma Wei Ni Jun Luo Yue Gao MoE 41 2 0 05 May 2025
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning Rongguang Ye Ming Tang FedML 48 0 0 30 Apr 2025
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning Sarang S Druva Dhakshinamoorthy Aditya Shiva Sharma Yuvraj Singh Bhadauria Siddharth Chaitra Vivek Arihant Bansal Arnab K. Paul FedML 34 0 0 26 Apr 2025
Efficient Federated Split Learning for Large Language Models over Communication Networks Kai Zhao Zhaohui Yang 35 0 0 20 Apr 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems Song Xia Yi Yu Wenhan Yang Meiwen Ding Zhuo Chen Lingyu Duan Alex C. Kot Xudong Jiang 56 2 0 01 Mar 2025
Distributed Multi-Head Learning Systems for Power Consumption Prediction Jia-Hao Syu Jerry Chun-Wei Lin Philip S. Yu 28 1 0 21 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 94 7 0 17 Jan 2025
SoK: Decentralized AI (DeAI) Zhipeng Wang Rui Sun Elizabeth Lui Vatsal Shah Xihan Xiong Jiahao Sun Davide Crapis William Knottenbelt 98 1 0 26 Nov 2024
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting Chunlin Tian Li Li Kahou Tam Yebo Wu Chengzhong Xu FedML 26 1 0 12 Oct 2024
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data Jiyuan Liu Xinwang Liu Siqi Wang Xingchen Hu Qing Liao Xinhang Wan Yi Zhang Xin Lv Kunlun He FedML 41 0 0 06 Sep 2024
Parallel Split Learning with Global Sampling Mohammad Kohankhaki Ahmad Ayad Mahdi Barhoush A. Schmeink 38 1 0 22 Jul 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey Guanqiao Qu Qiyuan Chen Wei Wei Zheng Lin Xianhao Chen Kaibin Huang 42 43 0 09 Jul 2024
FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning Jiaxing Qi Zhongzhi Luan Shaohan Huang Carol J. Fung Hailong Yang Depei Qian 32 12 0 12 Jun 2024
A deep cut into Split Federated Self-supervised Learning Marcin Przewiȩźlikowski Marcin Osial Bartosz Zieliñski Marek 'Smieja FedML 40 0 0 12 Jun 2024
Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G Xiaoxue Yu Xingfu Yi Rongpeng Li Fei Wang Chenghui Peng Zhifeng Zhao Honggang Zhang 72 1 0 06 May 2024
Adaptive Split Learning over Energy-Constrained Wireless Edge Networks Zuguang Li Wen Wu Shaohua Wu Wei Wang 33 1 0 08 Mar 2024
Multiple Access in the Era of Distributed Computing and Edge Intelligence Nikos G. Evgenidis Nikos A. Mitsiou Vasiliki I. Koutsioumpa Sotiris A. Tegos P. Diamantoulakis G. Karagiannidis 41 8 0 26 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 22 13 0 10 Feb 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 34 0 0 09 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Federated Multi-View Synthesizing for Metaverse Yiyu Guo Zhijing Qin Xiaoming Tao Geoffrey Ye Li 33 8 0 18 Dec 2023
MISA: Unveiling the Vulnerabilities in Split Federated Learning Wei Wan Yuxuan Ning Shengshan Hu Lulu Xue Minghui Li Leo Yu Zhang Hai Jin 11 3 0 18 Dec 2023
All Rivers Run to the Sea: Private Learning with Asymmetric Flows Yue Niu Ramy E. Ali Saurav Prakash Salman Avestimehr FedML 28 2 0 05 Dec 2023
Secure Transformer Inference Protocol Mu Yuan Lan Zhang Xiang-Yang Li 35 3 0 14 Nov 2023
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency Akrit Mudvari Antero Vainio Iason Ofeidis Sasu Tarkoma Leandros Tassiulas 24 3 0 09 Nov 2023
When MiniBatch SGD Meets SplitFed Learning:Convergence Analysis and Performance Evaluation Chao Huang Geng Tian Ming Tang FedML 34 4 0 23 Aug 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants Zhipeng Sun Yang Xu Hong-Ze Xu Liusheng Huang C. Qiao FedML 22 0 0 29 Jul 2023
SplitFed resilience to packet loss: Where to split, that is the question C. Shiranthika Zahra Hafezi Kafshgari Parvaneh Saeedi Ivan V. Bajić 30 2 0 25 Jul 2023
Federated Split Learning with Only Positive Labels for resource-constrained IoT environment Praveen Joshi Chandra Thapa Mohammed Hasanuzzaman T. Scully Haithem Afli FedML 23 1 0 25 Jul 2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression Yong-Nam Oh Jaeho Lee Christopher G. Brinton Yo-Seb Jeon MQ 33 7 0 20 Jul 2023
Split Learning in 6G Edge Networks Zhengyi Lin Guanqiao Qu Xianhao Chen Kaibin Huang 24 70 0 21 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 30 4 0 22 May 2023
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning Md. Adnan Arefeen Zhouyu Li M. Y. S. Uddin Anupam Das 27 0 0 13 May 2023
A Game-theoretic Framework for Privacy-preserving Federated Learning Xiaojin Zhang Lixin Fan Si-Yi Wang Wenjie Li Kai Chen Qiang Yang FedML 21 4 0 11 Apr 2023
Model Extraction Attacks on Split Federated Learning Jingtao Li Adnan Siraj Rakin Xing Chen Li Yang Zhezhi He Deliang Fan C. Chakrabarti FedML 62 5 0 13 Mar 2023
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning Xiucheng Wang Nan Cheng Longfei Ma Ruijin Sun Rong Chai Ning Lu FedML 38 11 0 10 Mar 2023
On Feasibility of Server-side Backdoor Attacks on Split Learning Behrad Tajalli Oguzhan Ersoy S. Picek FedML SILM 45 8 0 19 Feb 2023
Label Inference Attack against Split Learning under Regression Setting Shangyu Xie Xin Yang Yuanshun Yao Tianyi Liu Taiqing Wang Jiankai Sun FedML 26 9 0 18 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 38 32 0 04 Jan 2023
Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain Vesal Ahsani Alireza Rahimi Mehdi Letafati B. Khalaj 36 15 0 01 Jan 2023
SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dong-Jun Han Do-Yeon Kim Minseok Choi Christopher G. Brinton Jaekyun Moon FedML 26 31 0 16 Dec 2022
Security Analysis of SplitFed Learning M. A. Khan Virat Shejwalkar Amir Houmansadr Fatima M. Anwar FedML 16 11 0 04 Dec 2022
PiPar: Pipeline Parallelism for Collaborative Machine Learning Zihan Zhang Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 40 3 0 01 Dec 2022
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 28 5 0 01 Dec 2022
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 29 222 0 15 Nov 2022
Enhancing Efficiency in Multidevice Federated Learning through Data Selection Fan Mo Mohammad Malekzadeh S. Chatterjee F. Kawsar Akhil Mathur FedML 30 2 0 08 Nov 2022
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges Prabath Abeysekara Haipeng Dong •. A. K. Qin 14 0 0 24 Oct 2022
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation H. Roth Ali Hatamizadeh Ziyue Xu Can Zhao Wenqi Li Andriy Myronenko Daguang Xu FedML 37 9 0 22 Aug 2022