[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

[WACV 2022] "Supervised Compression for Resource-Constrained Edge Computing Systems"

[ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks" and [ACM MobiCom EMDL 2020] "Split Computing for Complex Object Detectors: Challenges and Preliminary Results"

[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"

[NeurIPS 2019] Mobile-cloud split deep learning model inference

[IEEE WoWMoM 2022] "BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing"

Split Computing and Neural Network Offloading in the context of IoT