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. 2306.11297
  4. Cited By
Decentralized Quantum Federated Learning for Metaverse: Analysis, Design
  and Implementation

Decentralized Quantum Federated Learning for Metaverse: Analysis, Design and Implementation

20 June 2023
Devya Gurung
Shiva Raj Pokhrel
Gang Li
ArXivPDFHTML

Papers citing "Decentralized Quantum Federated Learning for Metaverse: Analysis, Design and Implementation"

8 / 8 papers shown
Title
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
76
42
0
07 Nov 2022
Federated Quantum Natural Gradient Descent for Quantum Federated
  Learning
Federated Quantum Natural Gradient Descent for Quantum Federated Learning
Jun Qi
FedML
34
17
0
15 Aug 2022
Slimmable Quantum Federated Learning
Slimmable Quantum Federated Learning
Won Joon Yun
Jae Pyoung Kim
Soyi Jung
Jihong Park
M. Bennis
Joongheon Kim
34
31
0
20 Jul 2022
data2vec: A General Framework for Self-supervised Learning in Speech,
  Vision and Language
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Alexei Baevski
Wei-Ning Hsu
Qiantong Xu
Arun Babu
Jiatao Gu
Michael Auli
SSL
VLM
ViT
77
845
0
07 Feb 2022
Metaverse for Social Good: A University Campus Prototype
Metaverse for Social Good: A University Campus Prototype
Haihan Duan
Jiaye Li
Sizheng Fan
Zhonghao Lin
Xiao Wu
Wei Cai
29
608
0
20 Aug 2021
QuantumFed: A Federated Learning Framework for Collaborative Quantum
  Training
QuantumFed: A Federated Learning Framework for Collaborative Quantum Training
Qi Xia
Qun Li
FedML
29
29
0
16 Jun 2021
Robust Blockchained Federated Learning with Model Validation and
  Proof-of-Stake Inspired Consensus
Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus
Hang Chen
Syed Ali Asif
Jihong Park
Chien-Chung Shen
M. Bennis
FedML
87
43
0
09 Jan 2021
The power of quantum neural networks
The power of quantum neural networks
Amira Abbas
David Sutter
Christa Zoufal
Aurelien Lucchi
Alessio Figalli
Stefan Woerner
76
744
0
30 Oct 2020
1