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PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning.

, , , , , and . SAMOS, volume 13511 of Lecture Notes in Computer Science, page 200-216. Springer, (2022)

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Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers., , and . CoRR, (2019)Robust navigation with tinyML for autonomous mini-vehicles., , , , , , and . CoRR, (2020)PULP-NN: A Computing Library for Quantized Neural Network inference at the edge on RISC-V Based Parallel Ultra Low Power Clusters., , , , and . ICECS, page 33-36. IEEE, (2019)Accelerating RNN-Based Speech Enhancement on a Multi-core MCU with Mixed FP16-INT8 Post-training Quantization., , , , and . PKDD/ECML Workshops (1), volume 1752 of Communications in Computer and Information Science, page 606-617. Springer, (2022)Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs., , , and . AICAS, page 1-4. IEEE, (2021)On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems., , , , and . CoRR, (2024)BrightNet: A Deep CNN for OLED-Based Point of Care Immunofluorescent Diagnostic Systems., , , , , and . IEEE Trans. Instrum. Meas., 69 (9): 6766-6775 (2020)Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge Microcontrollers., , , and . IoT Streams/ITEM@PKDD/ECML, volume 1325 of Communications in Computer and Information Science, page 296-308. Springer, (2020)Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting., , , , and . AICAS, page 82-85. IEEE, (2022)An Energy Optimized JPEG Encoder for Parallel Ultra-Low-Power Processing-Platforms., , , , and . ApplePies, volume 627 of Lecture Notes in Electrical Engineering, page 125-133. Springer, (2019)