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cs.AR2026
Hardware-Software Co-Design for Float16 On-Device Training on RISC-V Single-Core
Benjamin Hubinet, Pierre-Alain Moellic, Olivier Savry +2
By leveraging standard RISC-V extensions, namely Zfh (scalar float16) and Zvfh (vector float16), this work proposes an open-source framework to enable complete on-device training o…
cs.CR2026
Model Poisoning Against Federated Model Adaptation with Chain of Bit-Flips
Bastien Vuillod, Kevin Hector, Pierre-Alain Moellic +2
Federated Learning (FL) allows a set of clients to collectively train a global model without sharing local training data. Giving the responsibility of the training to decentralized…