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- University of Illinois Urbana-ChampaignUS28 papers
- Nanyang Technological UniversitySG16 papers
- National University of SingaporeSG12 papers
- Digital Science (United States)US8 papers
- Singapore University of Technology and DesignSG8 papers
- Agency for Science, Technology and ResearchSG5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Hamad bin Khalifa UniversityQA4 papers
- Institute for Infocomm ResearchSG4 papers
- Chinese Academy of SciencesCN3 papers
- ShanghaiTech UniversityCN3 papers
- Sun Yat-sen UniversityCN3 papers
7 papers · 1 filter
On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections
Linshan Jiang, Rui Tan, Xin Lou +1
The Internet of Things (IoT) will be a main data generation infrastructure for achieving better system intelligence. This paper considers the design and implementation of a practic…
Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices
Cong Hao, Yao Chen, Xiaofan Zhang +4
High quality AI solutions require joint optimization of AI algorithms, such as deep neural networks (DNNs), and their hardware accelerators. To improve the overall solution quality…
VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization
Cheng Gong, Yao Chen, Ye Lu +3
Quantization has been proven to be an effective method for reducing the computing and/or storage cost of DNNs. However, the trade-off between the quantization bitwidth and final ac…
HaoCL: Harnessing Large-scale Heterogeneous Processors Made Easy
Yao Chen, Xin Long, Jiong He +5
The pervasive adoption of Deep Learning (DL) and Graph Processing (GP) makes it a de facto requirement to build large-scale clusters of heterogeneous accelerators including GPUs an…
Guarding a Polygon Without Losing Touch
Barath Ashok, John Augustine, Aditya Mehekare +3
We study the classical Art Gallery Problem first proposed by Klee in 1973 from a mobile multi-agents perspective. Specifically, we require an optimally small number of agents (also…
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions
Yuhong Li, Cong Hao, Xiaofan Zhang +5
High quality AI solutions require joint optimization of AI algorithms and their hardware implementations. In this work, we are the first to propose a fully simultaneous, efficient…