Qiang Yang (杨强）

Qiang Yang (杨强）

Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 …
Verified email at cse.ust.hk
Cited by 136648
Artificial Intelligence Transfer Learning Federated Learning Machine Learning and Data Mining
Daniel Ramage

Daniel Ramage

Google Research
Verified email at google.com
Cited by 100594
Federated learning Federated analytics Machine learning
H. Brendan McMahan

H. Brendan McMahan

Research Scientist, Google Seattle
Verified email at google.com
Cited by 70978
Machine Learning Distributed Optimization Federated Learning Differential Privacy Deep Learning
Yaochu Jin, Chair Professor, MAE, Recipient of IEEE Frank Rosenblatt Award; A. v. Humboldt Professor

Yaochu Jin, Chair Professor, MAE, Recipient of IEEE Frank Rosenblatt Award; A. v. Humboldt Professor

Department of Artificial Intelligence, Westlake University, China
Verified email at westlake.edu.cn
Cited by 57131
Evolutionary Optimization AI for Industry Federated Learning Trustworthy AI EvoDevo AGI
Jie Hu

Jie Hu

State Key Laboratory of Computer Science, Institute of Software,Chinese Academy of …
Verified email at ios.ac.cn
Cited by 41593
AIGC MLLM Visual Representation Model Quantization Federated Learning
Wojciech Samek

Wojciech Samek

Professor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD Fellow
Verified email at tu-berlin.de
Cited by 40218
Deep Learning Interpretability Explainable AI Trustworthy AI Federated Learning
Song Guo

Song Guo

FCAE, FIEEE, Hong Kong University of Science and Technology
Verified email at cse.ust.hk
Cited by 38823
Edge Intelligence Federated Learning Edge Computing Distributed System Wireless Networking
Andrew Hard

Andrew Hard

Staff Software Engineer, Google
Verified email at google.com
Cited by 38640
machine learning federated learning natural language processing high energy physics higgs physics
Yiran Chen

Yiran Chen

John Cocke Distinguished Professor of Electrical and Computer Engineering, Duke …
Verified email at duke.edu
Cited by 34774
Memory neuromorphic machine learning acceleration federated learning
Jun Zhang

Jun Zhang

Hong Kong University of Science and Technology, IEEE Fellow
Verified email at ust.hk
Cited by 28431
Mobile Edge Computing Edge AI Wireless Communications Federated Learning
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