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A Blockchain-based Reliable Federated Meta-learning for Metaverse: A
  Dual Game Framework

A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game Framework

7 August 2024
Emna Baccour
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
    FedMLOffRL
ArXiv (abs)PDFHTML

Papers citing "A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game Framework"

10 / 10 papers shown
Title
Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and
  Opportunities
Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities
Kai Li
Billy Pik Lik Lau
Xinnan Yuan
W. Ni
Mohsen Guizani
Chau Yuen
73
48
0
13 Jul 2023
Resource Allocation of Federated Learning for the Metaverse with Mobile
  Augmented Reality
Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality
Xinyu Zhou
Chang-rui Liu
Junfeng Zhao
59
22
0
16 Nov 2022
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics
  in Industrial Metaverse
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse
Shenglai Zeng
Zonghang Li
Hongfang Yu
Zhihao Zhang
Long Luo
Yue Liu
Dusit Niyato
97
43
0
07 Nov 2022
Federated Learning and Meta Learning: Approaches, Applications, and
  Directions
Federated Learning and Meta Learning: Approaches, Applications, and Directions
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
116
37
0
24 Oct 2022
Artificial Intelligence for the Metaverse: A Survey
Artificial Intelligence for the Metaverse: A Survey
Thien Huynh-The
Quoc-Viet Pham
Xuan-Qui Pham
Thanh Thi Nguyen
Zhu Han
Dong-Seong Kim
104
419
0
15 Feb 2022
Efficient Federated Meta-Learning over Multi-Access Wireless Networks
Efficient Federated Meta-Learning over Multi-Access Wireless Networks
Sheng Yue
Ju Ren
Jiang Xin
Deyu Zhang
Yaoxue Zhang
W. Zhuang
58
38
0
14 Aug 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
77
89
0
04 May 2021
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge
  Learning
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning
Sheng Yue
Ju Ren
Jiang Xin
Sen Lin
Junshan Zhang
FedML
59
44
0
16 Dec 2020
Improving Federated Learning Personalization via Model Agnostic Meta
  Learning
Improving Federated Learning Personalization via Model Agnostic Meta Learning
Yihan Jiang
Jakub Konecný
Keith Rush
Sreeram Kannan
FedML
74
601
0
27 Sep 2019
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
823
11,909
0
09 Mar 2017
1