A First Look at Deep Learning Apps on Smartphones

8 November 2018

Mengwei Xu

Papers citing "A First Look at Deep Learning Apps on Smartphones"

20 / 20 papers shown

Title
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment Hongtao Huang Xiaojun Chang Wen Hu Lina Yao 27 0 0 21 Feb 2024
Graft: Efficient Inference Serving for Hybrid Deep Learning with SLO Guarantees via DNN Re-alignment Jing Wu Lin Wang Qirui Jin Fangming Liu 23 11 0 17 Dec 2023
Mobile Foundation Model as Firmware Jinliang Yuan Chenchen Yang Dongqi Cai Shihe Wang Xin Yuan ... Di Zhang Hanzi Mei Xianqing Jia Shangguang Wang Mengwei Xu 34 19 0 28 Aug 2023
On-device Training: A First Overview on Existing Systems Shuai Zhu Thiemo Voigt Jeonggil Ko Fatemeh Rahimian 29 14 0 01 Dec 2022
Edge Security: Challenges and Issues Xin Jin Charalampos Katsis Fan Sang Jiahao Sun A. Kundu Ramana Rao Kompella 39 8 0 14 Jun 2022
Automation Slicing and Testing for in-App Deep Learning Models Hao Wu Yuhang Gong Xiaopeng Ke Hanzhong Liang Minghao Li Fengyuan Xu Yunxin Liu Sheng Zhong 41 1 0 15 May 2022
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review Daniel Rosendo Alexandru Costan P. Valduriez Gabriel Antoniu 17 80 0 29 Apr 2022
Benchmarking of DL Libraries and Models on Mobile Devices Qiyang Zhang Xiang Li Xiangying Che Xiao Ma Ao Zhou Mengwei Xu Shangguang Wang Yun Ma Xuanzhe Liu 25 48 0 14 Feb 2022
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning Jialiang Han Y. Ma Yudong Han 41 15 0 14 Jan 2022
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision Rui Han Qinglong Zhang C. Liu Guoren Wang Jian Tang L. Chen 16 43 0 18 Dec 2021
Boosting Mobile CNN Inference through Semantic Memory Yun Li Chen Zhang S. Han Li Lyna Zhang B. Yin Yunxin Liu Mengwei Xu ObjD 39 16 0 05 Dec 2021
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild Mario Almeida Stefanos Laskaridis Abhinav Mehrotra L. Dudziak Ilias Leontiadis Nicholas D. Lane HAI 104 44 0 28 Sep 2021
OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices Stylianos I. Venieris Ioannis Panopoulos I. Venieris 40 14 0 08 Jun 2021
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection Yuanchun Li Jiayi Hua Haoyu Wang Chunyang Chen Yunxin Liu FedML SILM 86 75 0 18 Jan 2021
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps Yujin Huang Han Hu Chunyang Chen AAML FedML 72 33 0 12 Jan 2021
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data Chengxu Yang Qipeng Wang Mengwei Xu Shangguang Wang Kaigui Bian Yunxin Liu Xuanzhe Liu 17 22 0 12 Jun 2020
Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps Zhichuang Sun Ruimin Sun Long Lu Alan Mislove 23 78 0 18 Feb 2020
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms Qianyu Guo Sen Chen Xiaofei Xie Lei Ma Q. Hu Hongtao Liu Yang Liu Jianjun Zhao Xiaohong Li 25 122 0 15 Sep 2019
daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices Jianhao Zhang Yingwei Pan Ting Yao He Zhao Tao Mei FedML MQ 14 66 0 16 Aug 2019
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018