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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"

3 / 3 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
67
0
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
51
1
0
10 Jan 2025
Dynamic Regret Analysis of Safe Distributed Online Optimization for
  Convex and Non-convex Problems
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems
Ting-Jui Chang
Sapana Chaudhary
D. Kalathil
Shahin Shahrampour
28
5
0
23 Feb 2023
1