MA3a.4

Strategic Quantization over a Noisy Channel

Anju Anand, Emrah Akyol, STATE UNIVERSITY OF NEW YORK AT BINGHAMTON, United States
Session:
MA3a: Optimization Lecture
Track:
Communications Systems
Location:
Scripps
Presentation Time:
Mon, 30 Oct, 09:30 - 09:55 PT (UTC -7)
Session Chair:
Nicolo Michelusi, Arizona State University
Presentation
Discussion
Resources
No resources available.
Session MA3a
MA3a.1: End-to-End Learning of Communication Systems with Novel Data-Efficient IIR Channel Identification
Roya Khanzadeh, Stefan Angerbauer, Andreas Springer, Werner Haselmayr, Johannes Kepler University Linz, Austria
MA3a.2: Optimal SDNR Digital Predistortion via Direct Inversion
Luis Godoy, Andrés Villamil, Emil Matus, Gerhard Fettweis, Technische Universität Dresden, Germany
MA3a.3: Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach
Muhammad Faraz Ul Abrar, Nicolò Michelusi, Arizona State University, United States
MA3a.4: Strategic Quantization over a Noisy Channel
Anju Anand, Emrah Akyol, STATE UNIVERSITY OF NEW YORK AT BINGHAMTON, United States
Contacts