IEEE Wireless Communications and Networking Conference
10–13 April 2022 // Austin, TX, USA
Boosting Verticals into Wireless Orbit

Program

VIRTUAL (ON-LINE) on-demand PROGRAM on 2ND WORKSHOP ON MACHINE LEARNING FOR COMMUNICATIONS: DISTRIBUTED MACHINE LEARNING FOR FUTURE COMMUNICATIONS AND NETWORKING

 

Date: Mon. 11th April 2022(from 8:15 am to 12:25 pm, UTC+8)

 

8:15 – 9:15 KEYNOTE:

Speaker: Osvaldo Simeone, King's College London

Keynote Title:Distributed Bayesian learning in wireless systems

 

9:15 – 10:15 SESSION 1:

9:15-9:30 Intelligent Decision Making in Autonomous Vehicles using Cognition Aided Reinforcement Learning

Heena Rathore (University of Texas, USA); Vikram Bhadauria (Texas A&M University Texarkana, USA)

 

9:30-9:45 Training Time Minimization in Quantized Federated Edge Learning under Bandwidth Constraint

Peixi Liu (Peking University, China); Jiamo Jiang (China Academy of Information and Communications Technology (CAICT), China); Guangxu Zhu (Shenzhen Research Institute of Big Data, China); Lei Cheng (Zhejiang University, China); Wei Jiang (Peking University, China); Wu Luo (Peking University, China); Ying Du (China Academy of Information and Communications Technology, China); Zhiqin Wang (China Academy of Information and Communications Technology, China)

 

9:45-10:00 FedQOGD: Federated Quantized Online Gradient Descent with Distributed Time-Series Data

Jonghwan Park (Hanyang University, Korea (South)); Dohyeok Kwon (Hanyang University, Korea (South)); Songnam Hong (Hanyang University, Korea (South))

 

10:00-10:15 Hierarchical Multi-Agent Deep Reinforcement Learning for Backscatter-aided Data Offloading

Hang Zhou (Sun Yat-Sen University, China); Yusi Long (Sun Yat-Sen University, China); Wenjie Zhang (Minnan Normal University, China); Jing Xu (Huazhong University of Science and Technology, China); Shimin Gong (Sun Yat-Sen University, China)

 

 

10:25 – 12:25 SESSION 2:

10:25-10:40 Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey

Zhilin Wang (IUPUI, USA); Qiao Kang (IUPUI, USA); Xinyi Zhang (Purdue, USA); Qin Hu (IUPUI, USA)

 

10:40-10:55 Semi-supervised Learning-enabled Two-stage Framework for Cooperative Spectrum Sensing Against SSDF Attack

Ze Chen (Hangzhou Dianzi University, China); Jun Wu (Hangzhou Dianzi University, China); Jianrong Bao (Hangzhou Dianzi University, China)

 

10:55-11:10 Joint Classification of IoT Devices and Relations In the Internet with Network Traffic

Yimo Ren (Institute of Information Engineering,Chinese Academy of Sciences, China); Hong Li (Institute of Information Engineering, Chinese Academy of Sciences, China); Min Xu (Science and Technology on Blind Signal Processing, China); Gang Xiong (Science and Technology on Blind Signal Processing, China); Shuqin Zhang (Zhongyuan University of Technology, China); Hongsong Zhu (Institute of Information Engineering, Chinese Academy of Sciences, China); Limin Sun (Institute of Information Engineering, China Academy of Science, Beijing, China)

 

11:10-11:25 Semantic Transfer Between Different Tasks in the Semantic Communication System

Qianwen Wu (Beijing University of Posts and Telecommunications, China); Fangfang Liu (Beijing University of Posts and Telecommunications, China); Hailun Xia (Beijing University of Posts and Telecommunications, China); Tingxuan Zhang (Beijing University of Posts and Communications, China)

 

11:25-11:40 Federated Learning Stability Under Byzantine Attacks

Ala Gouissem (Qatar University, Qatar); Khalid Abualsaud (Qatar University, Qatar); Elias Yaacoub (Qatar University, Qatar); Tamer Khattab (Qatar University, Qatar); Mohsen Guizani (Qatar University, United Arab Emirates)


11:40-11:55 Communication-Efficient Federated Learning For Massive MIMO Systems

Yuchen Mu (The University of Edinburgh, United Kingdom (Great Britain)); Navneet Garg (The University of Edinburgh, United Kingdom (Great Britain)); Tharmalingam Ratnarajah (The University of Edinburgh, United Kingdom (Great Britain))

 

11:55-12:10 Data-Aided MIMO Channel Estimation by Clustering and Reinforcement-Learning

Xing Li (Sun Yat-Sen University, China); Qianfan Wang (School of Electronics and Communication Engineering, Sun Yat-sen University, China); Hongqi Yang (Sun Yat-sen University, China); Xiao Ma (Sun Yat-sen University, China)


12:10-12:25 Resource Allocation for Multi-Task Federated Learning Algorithm over Wireless Communication Networks

Binghao Cao (Southeast University, China); Ming Chen (Southeast University, China); Yanglin Ben (Southeast University, China); Zhaohui Yang (University College London, United Kingdom (Great Britain)); Yuntao Hu (Southeast University, China); Chongwen Huang (Zhejiang University, China); Yihan Cang (Southeast University, China)

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