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. 2112.03504
  4. Cited By
Improving Dynamic Regret in Distributed Online Mirror Descent Using
  Primal and Dual Information

Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information

7 December 2021
Nima Eshraghi
Ben Liang
ArXivPDFHTML

Papers citing "Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information"

2 / 2 papers shown
Title
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving
Hyoungwook Jin
Yoonsu Kim
Dongyun Jung
Seungju Kim
Kiyoon Choi
J. Son
Juho Kim
LRM
56
2
0
01 Apr 2025
Differentially Private Online Federated Learning with Correlated Noise
Differentially Private Online Federated Learning with Correlated Noise
Jiaojiao Zhang
Linglingzhi Zhu
Mikael Johansson
FedML
47
1
0
10 Jan 2025
1