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Survey of Personalization Techniques for Federated Learning

Survey of Personalization Techniques for Federated Learning

19 March 2020
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
    FedML
ArXivPDFHTML

Papers citing "Survey of Personalization Techniques for Federated Learning"

6 / 56 papers shown
Title
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
Personalized Federated Learning: A Unified Framework and Universal
  Optimization Techniques
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
Filip Hanzely
Boxin Zhao
Mladen Kolar
FedML
24
52
0
19 Feb 2021
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts
Binbin Guo
Yuan Mei
Danyang Xiao
Weigang Wu
Ye Yin
Hongli Chang
MoE
45
22
0
31 Dec 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Filip Hanzely
Slavomír Hanzely
Samuel Horváth
Peter Richtárik
FedML
38
186
0
05 Oct 2020
Three Approaches for Personalization with Applications to Federated
  Learning
Three Approaches for Personalization with Applications to Federated Learning
Yishay Mansour
M. Mohri
Jae Hun Ro
A. Suresh
FedML
36
565
0
25 Feb 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
329
11,681
0
09 Mar 2017
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