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New Metrics to Evaluate the Performance and Fairness of Personalized
  Federated Learning

New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning

28 July 2021
Siddharth Divi
Yi-Shan Lin
Habiba Farrukh
Z. Berkay Celik
    FedML
ArXivPDFHTML

Papers citing "New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning"

6 / 6 papers shown
Title
PersA-FL: Personalized Asynchronous Federated Learning
PersA-FL: Personalized Asynchronous Federated Learning
Taha Toghani
Soomin Lee
César A. Uribe
FedML
34
6
0
03 Oct 2022
Towards Fairness-Aware Federated Learning
Towards Fairness-Aware Federated Learning
Yuxin Shi
Han Yu
Cyril Leung
FedML
21
79
0
02 Nov 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 2021
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
212
542
0
30 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
341
11,684
0
09 Mar 2017
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
789
0
19 Feb 2009
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