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P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless
  Setups

P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups

26 February 2023
Ioannis Arapakis
P. Papadopoulos
Kleomenis Katevas
Diego Perino
ArXivPDFHTML

Papers citing "P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups"

3 / 3 papers shown
Title
Mitigating Communications Threats in Decentralized Federated Learning
  through Moving Target Defense
Mitigating Communications Threats in Decentralized Federated Learning through Moving Target Defense
Enrique Tomás Martínez Beltrán
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
Manuel Gil Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
AAML
13
7
0
21 Jul 2023
Fedstellar: A Platform for Decentralized Federated Learning
Fedstellar: A Platform for Decentralized Federated Learning
Enrique Tomás Martínez Beltrán
Á. Gómez
Chao Feng
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
11
40
0
16 Jun 2023
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
18
221
0
15 Nov 2022
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