FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks

6 November 2020

Papers citing "FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks"

22 / 22 papers shown

Title
Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices Romina Soledad Molina Vukan Ninkovic D. Vukobratović Maria Liz Crespo Marco Zennaro 35 0 0 12 Feb 2025
Vaccinating Federated Learning for Robust Modulation Classification in Distributed Wireless Networks Hunmin Lee Hongju Seong Wonbin Kim Hyeokchan Kwon Daehee Seo 11 0 0 16 Oct 2024
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting Chunlin Tian Li Li Kahou Tam Yebo Wu Chengzhong Xu FedML 24 1 0 12 Oct 2024
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues Yunming Liao Yang Xu Hongli Xu Zhiwei Yao Liusheng Huang C. Qiao FedML 32 5 0 02 Oct 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
UAV-assisted Distributed Learning for Environmental Monitoring in Rural Environments Vukan Ninkovic D. Vukobratović D. Mišković 21 3 0 02 Jul 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources Yilin Zheng A. Eryilmaz FedML 30 0 0 31 May 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 70 3 0 25 May 2024
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training Zhiyuan Wang Bokui Chen Xiaoyang Qu Zhenhou Hong Jing Xiao Jianzong Wang 27 0 0 22 May 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
MP-SL: Multihop Parallel Split Learning Joana Tirana S. Lalis Dimitris Chatzopoulos 24 3 0 31 Jan 2024
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation Yunming Liao Yang Xu Hong-Ze Xu Lun Wang Zhiwei Yao C. Qiao FedML MoMe 22 10 0 22 Nov 2023
Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving for Internet of Things Hengliang Tang Zihang Zhao Detian Liu Yang Cao Shiqiang Zhang Siqing You 13 1 0 08 Nov 2023
Weighted Sampled Split Learning (WSSL): Balancing Privacy, Robustness, and Fairness in Distributed Learning Environments Manish Osti Aashray Thakuri Basheer Qolomany Aos Mulahuwaish 8 0 0 27 Oct 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 19 32 0 04 Jan 2023
Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions Pratik K. Mishra Alex Mihailidis Shehroz S. Khan 28 17 0 31 Dec 2022
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
Federated Split GANs P. Kortoçi Yilei Liang Pengyuan Zhou Lik-Hang Lee Abbas Mehrabi Pan Hui Sasu Tarkoma Jon Crowcroft FedML 14 7 0 04 Jul 2022
Similarity-based Label Inference Attack against Training and Inference of Split Learning Junlin Liu Xinchen Lyu Qimei Cui Xiaofeng Tao FedML 14 26 0 10 Mar 2022
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data Lianlian Jiang Yuexuan Wang Wenyi Zheng Chao Jin Zengxiang Li Sin Gee Teo AI4TS 11 10 0 08 Mar 2022
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning Ayush Chopra Surya Kant Sahu Abhishek Singh Abhinav Java Praneeth Vepakomma Vivek Sharma Ramesh Raskar 22 26 0 02 Dec 2021
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 162 564 0 27 Jul 2020