A fine-grained split inference system enables CNN models infeasible on single MCUs to run across networked devices by partitioning at sub-layer granularity, reducing per-device peak RAM while keeping practical latency.
Post-training 4-bit quantization of deep neural networks
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Split CNN Inference on Networked Microcontrollers
A fine-grained split inference system enables CNN models infeasible on single MCUs to run across networked devices by partitioning at sub-layer granularity, reducing per-device peak RAM while keeping practical latency.