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Analyzing the Robustness of Decentralized Horizontal and Vertical
  Federated Learning Architectures in a Non-IID Scenario

Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario

20 October 2022
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Enrique Tomás Martínez Beltrán
Daniel Demeter
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
    AAML
    FedML
ArXivPDFHTML

Papers citing "Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario"

4 / 4 papers shown
Title
Decentralized Federated Learning: Fundamentals, State of the Art,
  Frameworks, Trends, and Challenges
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
29
222
0
15 Nov 2022
Studying the Robustness of Anti-adversarial Federated Learning Models
  Detecting Cyberattacks in IoT Spectrum Sensors
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
T. Schenk
A. Iten
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
AAML
22
18
0
31 Jan 2022
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
202
434
0
04 Mar 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
188
1,032
0
29 Nov 2018
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