Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving
for Internet of Things

Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving for Internet of Things

8 November 2023

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Papers citing "Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving for Internet of Things"

18 / 18 papers shown

Title
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning Sihun Baek Jihong Park Praneeth Vepakomma Ramesh Raskar M. Bennis Seong-Lyun Kim FedML 62 10 0 01 Jul 2022
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction Liang Gao Huazhu Fu Li Li Yingwen Chen Minghua Xu Chengzhong Xu FedML 95 256 0 22 Mar 2022
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources Student Member Ieee Hao Chen Shaocheng Huang Deyou Zhang Ming Xiao Fellow Ieee Mikael Skoglund L. F. I. H. Vincent Poor 81 96 0 22 Oct 2021
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 42 68 0 27 Jul 2021
Unleashing the Tiger: Inference Attacks on Split Learning Dario Pasquini G. Ateniese M. Bernaschi FedML 107 152 0 04 Dec 2020
Advancements of federated learning towards privacy preservation: from federated learning to split learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe FedML 67 87 0 25 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things Jing Zhang Dacheng Tao 101 472 0 17 Nov 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 70 1,352 0 15 Jul 2020
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 90 584 0 25 Apr 2020
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? Sharif Abuadbba Kyuyeon Kim Minki Kim Chandra Thapa S. Çamtepe Yansong Gao Hyoungshick Kim Surya Nepal FedML 54 123 0 16 Mar 2020
iDLG: Improved Deep Leakage from Gradients Bo Zhao Konda Reddy Mopuri Hakan Bilen FedML 74 643 0 08 Jan 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 273 6,294 0 10 Dec 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Yuxiang Cai Schahram Dustdar Albert Y. Zomaya 104 616 0 02 Sep 2019
Federated Learning for Emoji Prediction in a Mobile Keyboard Swaroop Indra Ramaswamy Rajiv Mathews Kanishka Rao Franccoise Beaufays FedML 62 313 0 11 Jun 2019
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 118 710 0 03 Dec 2018
Distributed learning of deep neural network over multiple agents O. Gupta Ramesh Raskar FedML OOD 74 606 0 14 Oct 2018
DÏoT: A Federated Self-learning Anomaly Detection System for IoT T. D. Nguyen Samuel Marchal Markus Miettinen Hossein Fereidooni Nadarajah Asokan A. Sadeghi 150 494 0 20 Apr 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,615 0 17 Feb 2016

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