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Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative
  Machine Learning
v1v2 (latest)

Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning

24 May 2022
H. Ochiai
Yuwei Sun
Qingzhe Jin
Nattanon Wongwiwatchai
Hiroshi Esaki
ArXiv (abs)PDFHTML

Papers citing "Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning"

3 / 3 papers shown
Title
Mobilizing Personalized Federated Learning in Infrastructure-Less and
  Heterogeneous Environments via Random Walk Stochastic ADMM
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMMNeural Information Processing Systems (NeurIPS), 2023
Ziba Parsons
Fei Dou
Houyi Du
Zheng Song
Jin Lu
186
4
0
25 Apr 2023
Decentralized Federated Learning: Fundamentals, State of the Art,
  Frameworks, Trends, and Challenges
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and ChallengesIEEE Communications Surveys and Tutorials (COMST), 2022
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
407
375
0
15 Nov 2022
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning
  Attacks
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning AttacksInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2022
Naoya Tezuka
H. Ochiai
Yuwei Sun
Hiroshi Esaki
AAML
118
5
0
07 Nov 2022
1