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Online Federated Learning via Non-Stationary Detection and Adaptation
  amidst Concept Drift

Online Federated Learning via Non-Stationary Detection and Adaptation amidst Concept Drift

22 November 2022
Bhargav Ganguly
Vaneet Aggarwal
    FedML
ArXivPDFHTML

Papers citing "Online Federated Learning via Non-Stationary Detection and Adaptation amidst Concept Drift"

4 / 4 papers shown
Title
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
Nima Eshraghi
Ben Liang
53
9
0
07 Dec 2021
PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data
  Streams
PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams
Li Yang
D. Manias
Abdallah Shami
62
53
0
10 Sep 2021
A Lightweight Concept Drift Detection and Adaptation Framework for IoT
  Data Streams
A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams
Li Yang
Abdallah Shami
61
103
0
21 Apr 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
787
0
15 Feb 2021
1