Author

Davide Bertozzi

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#machine learning Preprint Sep 2026

Carry-Through Checksum: A Lightweight Fault-Detection for CNN Inference at the Edge

Carry-through checksum is proposed, a fundamentally new scheme for soft-error detection in CNN inference on embedded GPUs that embeds dedicated carry-through filters into the convolutional layers, which compute a checksum from the CNN's own operations and propagate it through inference, enabling end-to-end error detect...

Kyrylo Nazarevych, Mohammad Hasan Ahmadilivani, Krister Kaldre et al. · 0 citations

Open access 2026

Bias-Aware FP8 Format for Efficient Weight Representation in Post-Training Quantization

Deep neural network (DNN) weights dominate memory consumption during inference, making their efficient numerical representation particularly important for resource-constrained Edge AI systems. Widely used 8-bit floating-point (FP8) formats, such as E5M2 and E4M3, provide representable ranges that are significantly wide...

A. Jovanovic, Stefan S. Tomic, Jelena R. Nikolić et al. · IEEE Access · 0 citations