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. 2302.08658
  4. Cited By
Online Spatio-Temporal Correlation-Based Federated Learning for Traffic
  Flow Forecasting

Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting

17 February 2023
Qing Liu
Sheng Sun
Min Liu
Yuwei Wang
Bo Gao
ArXiv (abs)PDFHTML

Papers citing "Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting"

3 / 3 papers shown
Title
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow
  Forecasting
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting
Qingxiang Liu
Sheng Sun
Yuxuan Liang
Xiaolong Xu
Min Liu
Muhammad Bilal
Yuwei Wang
Xujing Li
Yu Zheng
89
1
0
21 Nov 2024
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual
  Semantic Alignment-Based Contrastive Approach
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach
Qing Liu
Sheng Sun
Yuxuan Liang
Jingjing Xue
Min Liu
AI4TS
85
4
0
04 Apr 2024
FedCache: A Knowledge Cache-driven Federated Learning Architecture for
  Personalized Edge Intelligence
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Ke Xu
Wen Wang
Xue Jiang
Bo Gao
Jin Lu
115
26
0
15 Aug 2023
1