Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Jiewei Chen
Affiliation
Future Institute of Technology, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, China
Topic
Data Privacy,Collaborative Training,Federated Learning,Federated Learning Framework,Global Model,Local Dataset,Local Training,Transformer Model,5G Networks,Accidental Events,Action Potential,Action Potential Generation,Artificial Devices,Artificial Intelligence,Artificial Intelligence Technology,Artificial Synapse,Backhaul Links,Base Station,Bidirectional Long Short-term Memory,Bidirectional Long Short-term Memory Model,Biological Synapses,Central Server,Client-side,Collaborative Framework,Communication Rounds,Comparison Of Experimental Results,Computational Resources,Conditional Random Field,Content Caching,Content Popularity,Content Request,Coverage Area,Data Distribution,Data Management,Data Privacy Protection,Data Processing,Data Processing Capabilities,Data Processing Unit,Data Security,Data Sources,Datapath,Deep Neural Network,Deep Q-learning,Deep Q-network,Deterministic Strategy,Dropout Rate,Earth Mover’s Distance,Edge Server,Energy Conservation,Energy Consumption,
Biography
Jiewei Chen is currently pursuing the master’s degree with the Institute of Network Technology, Beijing University of Posts and Telecommunications, Beijing, China. Her research interests include wireless network, edge computing, and federated machine learning.