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Experimenting with Emerging RISC-V Systems for Decentralised Machine
  Learning
v1v2v3 (latest)

Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning

ACM International Conference on Computing Frontiers (CF), 2023
15 February 2023
Gianluca Mittone
Nicolò Tonci
Robert Birke
Iacopo Colonnelli
Doriana Medić
Andrea Bartolini
Roberto Esposito
Emanuele Parisi
Francesco Beneventi
Mirko Polato
Massimo Torquati
Luca Benini
Marco Aldinucci
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning"

3 / 3 papers shown
Exploring energy consumption of AI frameworks on a 64-core RV64 Server CPU
Exploring energy consumption of AI frameworks on a 64-core RV64 Server CPU
Giulio Malenza
Francesco Targa
Adriano Marques Garcia
Marco Aldinucci
Robert Birke
375
0
0
03 Apr 2025
Correct orchestration of Federated Learning generic algorithms:
  formalisation and verification in CSP
Correct orchestration of Federated Learning generic algorithms: formalisation and verification in CSPEuropean Conference on the Engineering of Computer-Based Systems (ECBS), 2023
Ivan Prokić
S. Ghilezan
Simona Kasterovic
M. Popovic
M. Popovic
I. Kastelan
FedML
268
8
0
26 Jun 2023
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
338
66
0
16 Jun 2023
1
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