19 citations · 32 across the 8 of their papers we have counts for
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cs.DC2023★ 19 cited
Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning
Gianluca Mittone, Nicolò Tonci, Robert Birke +10
Decentralised Machine Learning (DML) enables collaborative machine learning without centralised input data. Federated Learning (FL) and Edge Inference are examples of DML. While to…
cs.DC2022★ 4 cited
Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers
Andrea Bartolini, Federico Ficarelli, Emanuele Parisi +9
The new open and royalty-free RISC-V ISA is attracting interest across the whole computing continuum, from microcontrollers to supercomputers. High-performance RISC-V processors an…