Trusted AI in Multi-agent Systems: An Overview of Privacy and Security
for Distributed Learning

Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning

18 February 2022

Jun Li

Bo Liu

Ming Ding

H. Vincent Poor

Papers citing "Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning"

15 / 15 papers shown

Title
SoK: Decentralized AI (DeAI) Zhipeng Wang Rui Sun Elizabeth Lui Vatsal Shah Xihan Xiong Jiahao Sun Davide Crapis William Knottenbelt 101 1 0 26 Nov 2024
Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT Jixuan Cui Jun Li Zhen Mei Yiyang Ni Wen Chen Zengxiang Li FedML 35 0 0 24 Sep 2024
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference Claudio Angione Yue Zhao Harry Yang Ahmad Farhan Fielding Johnston James Buban Patrick Colangelo 42 1 0 29 Jul 2024
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses M. Ferrag Othmane Friha B. Kantarci Norbert Tihanyi Lucas C. Cordeiro Merouane Debbah Djallel Hamouda Muna Al-Hawawreh K. Choo 25 43 0 17 Jun 2023
FLCert: Provably Secure Federated Learning against Poisoning Attacks Xiaoyu Cao Zaixi Zhang Jinyuan Jia Neil Zhenqiang Gong FedML OOD 83 59 0 02 Oct 2022
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization Qingsong Zhang Bin Gu Cheng Deng Songxiang Gu Liefeng Bo J. Pei Heng-Chiao Huang FedML 100 30 0 26 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 134 139 0 17 Feb 2021
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation Jun Li Yumeng Shao Kang Wei Ming Ding Chuan Ma Long Shi Zhu Han Vincent Poor FedML 69 150 0 18 Jan 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 117 123 0 24 Oct 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 202 434 0 04 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 763 0 28 Sep 2019
Security, Privacy and Safety Risk Assessment for Virtual Reality Learning Environment Applications Aniket Gulhane Akhil Vyas Reshmi Mitra Roland Oruche Gabriela Hoefer Samaikya Valluripally Prasad Calyam K. A. Hoque 25 42 0 29 Nov 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,032 0 29 Nov 2018
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 179 683 0 07 Dec 2010