ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.13800
  4. Cited By
A First Order Meta Stackelberg Method for Robust Federated Learning

A First Order Meta Stackelberg Method for Robust Federated Learning

23 June 2023
Yunian Pan
Tao Li
Henger Li
Tianyi Xu
Zizhan Zheng
Quanyan Zhu
    FedML
ArXivPDFHTML

Papers citing "A First Order Meta Stackelberg Method for Robust Federated Learning"

13 / 13 papers shown
Title
From Texts to Shields: Convergence of Large Language Models and Cybersecurity
From Texts to Shields: Convergence of Large Language Models and Cybersecurity
Tao Li
Ya-Ting Yang
Yunian Pan
Quanyan Zhu
34
0
0
01 May 2025
Multi-level Traffic-Responsive Tilt Camera Surveillance through
  Predictive Correlated Online Learning
Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning
Tao Li
Zilin Bian
Haozhe Lei
Fan Zuo
Ya-Ting Yang
Quanyan Zhu
Zhenning Li
K. Ozbay
27
7
0
05 Aug 2024
Foundations of Cyber Resilience: The Confluence of Game, Control, and
  Learning Theories
Foundations of Cyber Resilience: The Confluence of Game, Control, and Learning Theories
Quanyan Zhu
AI4CE
29
3
0
01 Apr 2024
Symbiotic Game and Foundation Models for Cyber Deception Operations in
  Strategic Cyber Warfare
Symbiotic Game and Foundation Models for Cyber Deception Operations in Strategic Cyber Warfare
Tao Li
Quanyan Zhu
AAML
32
5
0
14 Mar 2024
Decision-Dominant Strategic Defense Against Lateral Movement for 5G
  Zero-Trust Multi-Domain Networks
Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks
Tao Li
Yunian Pan
Quanyan Zhu
AAML
21
5
0
02 Oct 2023
A First Order Meta Stackelberg Method for Robust Federated Learning
  (Technical Report)
A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report)
Henger Li
Tianyi Xu
Tao Li
Yunian Pan
Quanyan Zhu
Zizhan Zheng
AAML
FedML
19
1
0
23 Jun 2023
Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy:
  A Meta-Learning Approach
Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach
Yunfei Ge
Tao Li
Quanyan Zhu
AAML
26
18
0
06 Mar 2023
Commitment with Signaling under Double-sided Information Asymmetry
Commitment with Signaling under Double-sided Information Asymmetry
Tao Li
Quanyan Zhu
17
6
0
22 Dec 2022
MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary
  Backdoor Pattern Types Using a Maximum Margin Statistic
MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic
Hang Wang
Zhen Xiang
David J. Miller
G. Kesidis
AAML
30
41
0
13 May 2022
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
108
611
0
27 Dec 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
179
1,032
0
29 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
314
11,681
0
09 Mar 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
133
1,198
0
16 Aug 2016
1