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Towards Understanding Quality Challenges of the Federated Learning for
  Neural Networks: A First Look from the Lens of Robustness

Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of Robustness

5 January 2022
Amin Eslami Abyane
Derui Zhu
Roberto Souza
Lei Ma
Hadi Hemmati
    AAML
    OOD
    FedML
ArXivPDFHTML

Papers citing "Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of Robustness"

3 / 3 papers shown
Title
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
M. D. Belgoumri
Mohamed Reda Bouadjenek
Sunil Aryal
Hakim Hacid
56
1
0
01 Jun 2024
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
183
357
0
07 Dec 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,034
0
29 Nov 2018
1