ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.07718
  4. Cited By
Scatterbrained: A flexible and expandable pattern for decentralized
  machine learning

Scatterbrained: A flexible and expandable pattern for decentralized machine learning

14 December 2021
Miller Wilt
Jordan K Matelsky
A. Gearhart
    FedMLOOD
ArXiv (abs)PDFHTML

Papers citing "Scatterbrained: A flexible and expandable pattern for decentralized machine learning"

3 / 3 papers shown
Title
Fedstellar: A Platform for Decentralized Federated Learning
Fedstellar: A Platform for Decentralized Federated LearningExpert systems with applications (ESWA), 2023
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
284
61
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 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
415
375
0
15 Nov 2022
DACFL: Dynamic Average Consensus Based Federated Learning in
  Decentralized Topology
DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized TopologyItalian National Conference on Sensors (INS), 2021
Zhikun Chen
Daofeng Li
Jinkang Zhu
Sihai Zhang
FedML
171
14
0
10 Nov 2021
1