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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
Chuan Ma
Jun Li
Kang Wei
Bo Liu
Ming Ding
Long Yuan
Zhu Han
H. Vincent Poor
ArXivPDFHTML

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

14 / 14 papers shown
Title
SoK: Decentralized AI (DeAI)
SoK: Decentralized AI (DeAI)
Zhipeng Wang
Rui Sun
Elizabeth Lui
Vatsal Shah
Xihan Xiong
Jiahao Sun
Davide Crapis
William Knottenbelt
96
1
0
26 Nov 2024
Adversarial Federated Consensus Learning for Surface Defect
  Classification Under Data Heterogeneity in IIoT
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
25
0
0
24 Sep 2024
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference
Claudio Angione
Yue Zhao
Harry Yang
Ahmad Farhan
Fielding Johnston
James Buban
Patrick Colangelo
38
1
0
29 Jul 2024
FLCert: Provably Secure Federated Learning against Poisoning Attacks
FLCert: Provably Secure Federated Learning against Poisoning Attacks
Xiaoyu Cao
Zaixi Zhang
Jinyuan Jia
Neil Zhenqiang Gong
FedML
OOD
71
59
0
02 Oct 2022
AsySQN: Faster Vertical Federated Learning Algorithms with Better
  Computation Resource Utilization
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
95
28
0
26 Sep 2021
Label Leakage and Protection in Two-party Split Learning
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
139
0
17 Feb 2021
Blockchain Assisted Decentralized Federated Learning (BLADE-FL):
  Performance Analysis and Resource Allocation
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
55
150
0
18 Jan 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim
Yehong Zhang
M. Chan
Hsiang Low
FedML
109
123
0
24 Oct 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
186
432
0
04 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
157
758
0
28 Sep 2019
Security, Privacy and Safety Risk Assessment for Virtual Reality
  Learning Environment Applications
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
20
42
0
29 Nov 2018
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
177
1,031
0
29 Nov 2018
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
243
7,620
0
03 Jul 2012
Optimal Distributed Online Prediction using Mini-Batches
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
166
683
0
07 Dec 2010
1