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. 2308.11636
  4. Cited By
Aggregating Intrinsic Information to Enhance BCI Performance through
  Federated Learning

Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning

14 August 2023
Rui Liu
Yuanyuan Chen
Anran Li
Y. Ding
Han Yu
Cuntai Guan
    FedML
ArXivPDFHTML

Papers citing "Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning"

4 / 4 papers shown
Title
Federated Motor Imagery Classification for Privacy-Preserving
  Brain-Computer Interfaces
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces
Tianwang Jia
Lubin Meng
Siyang Li
Jiajing Liu
Dongrui Wu
97
2
0
02 Dec 2024
Large Brain Model for Learning Generic Representations with Tremendous
  EEG Data in BCI
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
Wei-Bang Jiang
Li-Ming Zhao
Bao-Liang Lu
19
65
0
29 May 2024
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
180
832
0
01 Mar 2021
BENDR: using transformers and a contrastive self-supervised learning
  task to learn from massive amounts of EEG data
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
41
198
0
28 Jan 2021
1