WiOpt 2021 Workshops
Workshop on Machine Learning in Wireless Communications
Welcome
Session 1
KO Codes
Pramod Viswanath (University of Illinois at Urbana-Champaign, USA)
Concealed Federated Learning: Learning from Distributed Devices While Keeping the Model Secret
Atilla Eryilmaz (The Ohio State University, USA)
Session Chair
Srinivas Shakkottai (Texas A&M University, USA)
Break
Session 2
ML for Acoustic Sensing
Lili Qiu (The University of Texas at Austin, USA)
Deep Learning based Wireless Localization for Indoor Navigation
Dinesh Bharadia (University of California at San Diego, USA)
Dataset Automation and Reuse
Ashutosh Sabharwal (Rice University, USA)
Session Chair
Srinivas Shakkottai (Texas A&M University, USA)
Session 3
Learning Based Resource Allocation in Queueing Systems with Discrete-Choices
Vijay Subramanian (University of Michigan, USA)
Robust and Fast Online Convex Optimization
Leandros Tassiulas (Yale University, USA)
Learning-based Adaptive IRS Control with Limited Feedback Codebooks
David Love (Purdue University, USA)
Session Chair
Thinh Doan (Virginia Tech, USA)
Break
Session 4
Networked Systems Support for an AI-Centric World
Aditya Akella (The University of Texas at Austin, USA)
Deep Convolutional Neural Networks for Device Identification
Kaushik Chowdhury (Northeastern University, USA)
Session Chair
Thinh Doan (Virginia Tech, USA)
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