Bringing AI to edge: From deep learning’s perspective

Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond

(2021) Xiangzhong Luo et al.   IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance

(2020) Peter Mattson et al.   IEEE MICRO

RTX on—The NVIDIA Turing GPU

(2020) John Burgess   IEEE MICRO

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

(2020) By Lei Deng et al.   PROCEEDINGS OF THE IEEE

Domain-specific hardware accelerators

(2020) William J. Dally et al.   COMMUNICATIONS OF THE ACM

GPU-Accelerated Real-Time Stereo Estimation With Binary Neural Network

(2020) Gang Chen et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Federated Machine Learning

(2019) Qiang Yang et al.   ACM Transactions on Intelligent Systems and Technology

[DL] A Survey of FPGA-based Neural Network Inference Accelerators

(2019) Kaiyuan Guo et al.   ACM Transactions on Reconfigurable Technology and Systems

A new golden age for computer architecture

(2019) John L. Hennessy et al.   COMMUNICATIONS OF THE ACM

Adaptive Federated Learning in Resource Constrained Edge Computing Systems

(2019) Shiqiang Wang et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

(2019) Xiaofei Wang et al.   IEEE NETWORK

NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm

(2019) Xiaoliang Dai et al.   IEEE TRANSACTIONS ON COMPUTERS

Deep Learning With Edge Computing: A Review

(2019) Jiasi Chen et al.   PROCEEDINGS OF THE IEEE

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

(2019) Zhi Zhou et al.   PROCEEDINGS OF THE IEEE

Adversarial Examples: Attacks and Defenses for Deep Learning

(2019) Xiaoyong Yuan et al.   IEEE Transactions on Neural Networks and Learning Systems

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

A New Golden Age in Computer Architecture: Empowering the Machine-Learning Revolution

(2018) Jeff Dean et al.   IEEE MICRO

Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges

(2018) Yu Cheng et al.   IEEE SIGNAL PROCESSING MAGAZINE

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

A Survey on Mobile Edge Computing: The Communication Perspective

(2017) Yuyi Mao et al.   IEEE Communications Surveys and Tutorials

Mobile Edge Computing: A Survey on Architecture and Computation Offloading

(2017) Pavel Mach et al.   IEEE Communications Surveys and Tutorials

Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks

(2017) Yu-Hsin Chen et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

(2017) Vivienne Sze et al.   PROCEEDINGS OF THE IEEE

DianNao family

(2016) Yunji Chen et al.   COMMUNICATIONS OF THE ACM

Caching at the wireless edge: design aspects, challenges, and future directions

(2016) Dong Liu et al.   IEEE COMMUNICATIONS MAGAZINE

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Edge Computing: Vision and Challenges

(2016) Weisong Shi et al.   IEEE Internet of Things Journal

Twenty Years of Mixture of Experts

(2012) S. E. Yuksel et al.   IEEE Transactions on Neural Networks and Learning Systems

Roofline

(2009) Samuel Williams et al.   COMMUNICATIONS OF THE ACM

Electronic System-Level Synthesis Methodologies

(2009) A. Gerstlauer et al.   IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION