Citation Impact
Citing Papers
Communication-efficient and distributed learning over wireless networks:principles and applications
2021
ISAAC
2016
Training low bitwidth convolutional neural network on RRAM
2018
Secure, privacy-preserving and federated machine learning in medical imaging
2020 Standout
Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems
2018
Fully hardware-implemented memristor convolutional neural network
2020 StandoutNature
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
Federated learning over wireless fading channels
2020
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
2020 Standout
Deep learning with coherent nanophotonic circuits
2017 Standout
Wireless network intelligence at the edge
2019
Neuro-Inspired Computing With Emerging Nonvolatile Memorys
2018
Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air
2020
Application of the residue number system to reduce hardware costs of the convolutional neural network implementation
2020 Standout
Deep Learning in Mobile and Wireless Networking: A Survey
2019
Review on deep learning applications in frequency analysis and control of modern power system
2021 Standout
UVeQFed: Universal Vector Quantization for Federated Learning
2020
The future of electronics based on memristive systems
2017 Standout
Edge Computing for Autonomous Driving: Opportunities and Challenges
2019
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
Blockchained On-Device Federated Learning
2019 Standout
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
2017 Standout
What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence
2021 Standout
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
2019 Standout
An Instruction Set Architecture for Machine Learning
2018
Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
2021
FPGA-Based Accelerators of Deep Learning Networks for Learning and Classification: A Review
2018
Works of Cong Xu being referenced
TernGrad: ternary gradients to reduce communication in distributed deep learning
2017
PRIME
2016
PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory
2016