Technical Program

Note: All times are in Pacific Daylight Time (UTC -7)

K2: In-Person Posters III

Session Type: Poster
Time: Monday, October 31, 15:30 - 17:00
Location: Kiln
K2.1: Towards Adaptive Digital Self-Interference Cancellation in Full-Duplex Wireless Transceivers: APSM vs. Neural Networks
         Mohammadhossein Attar; Technische Universit├Ąt Berlin
         Kaixin Chang; Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
         Ramez Askar; Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
         Sebastian Cammerer; NVIDIA
         Guillermo Marcus; NVIDIA
         Alexander Keller; NVIDIA
         Slawomir Stanczak; Technische Universit├Ąt Berlin
K2.2: Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles
         Konstantinos D. Polyzos; University of Minnesota
         Qin Lu; University of Minnesota
         Georgios B. Giannakis; University of Minnesota
K2.3: Joint graph learning from Gaussian observations in the presence of hidden nodes
         Samuel Rey; King Juan Carlos University
         Madeline Navarro; Rice University
         Andrei Buciulea; King Juan Carlos University
         Santiago Segarra; Rice University
         Antonio Garcia Marques; King Juan Carlos University
K2.4: Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics
         Tianqi Zheng; Johns Hopkins University
         Pengcheng You; Peking University
         Enrique Mallada; Johns Hopkins University
K2.5: Identifying Core-Periphery Structure Using Graph Neural Networks
         Rajat Kumar; Indian Institute of Science Bangalore
         Sravanthi Gurugubelli; Indian Institute of Science Bangalore
         Sundeep Prabhakar Chepuri; Indian Institute of Science Bangalore
K2.6: Community Detection in attributed networks using Graph Wavelets
         Meiby Ortiz-Bouza; Michigan State University
         Selin Aviyente; Michigan State University
K2.7: Convolutional Neural Networks on Manifolds: From Graphs and Back
         Zhiyang Wang; University of Pennsylvania
         Luana Ruiz; Simons-Berkeley Institute
         Alejandro Ribeiro; University of Pennsylvania
K2.8: Stochastic Sign SGD Can Simultaneously Tolerate Byzantine and Guarantee Privacy
         Ming Xiang; Northeastern University
         Lili Su; Northeastern University
K2.9: Assisted Learning for Organizations with Limited Data
         Yi Zhou; University of Utah
         Cheng Chen; University of Utah
         Jiaying Zhou; University of Minnesota
         Jie Ding; University of Minnesota
K2.10: Understanding Benign Overfitting in Personalized Federated Learning
         Lisha Chen; Rensselaer Polytechnic Institute
         Tianyi Chen; Rensselaer Polytechnic Institute