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Partially Personalized Federated Learning: Breaking the Curse of Data
  Heterogeneity

Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity

29 May 2023
Konstantin Mishchenko
Rustem Islamov
Eduard A. Gorbunov
Samuel Horváth
    FedML
ArXivPDFHTML

Papers citing "Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity"

4 / 4 papers shown
Title
Collaborative and Efficient Personalization with Mixtures of Adaptors
Collaborative and Efficient Personalization with Mixtures of Adaptors
Abdulla Jasem Almansoori
Samuel Horváth
Martin Takáč
FedML
36
2
0
04 Oct 2024
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
770
0
15 Feb 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
169
351
0
07 Dec 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
170
634
0
19 Sep 2019
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