research
∙
06/05/2023
WHO-IS: Wireless Hetnet Optimization using Impact Selection
We propose a method to first identify users who have the most negative i...
share
research
∙
11/26/2022
Why Neural Networks Work
We argue that many properties of fully-connected feedforward neural netw...
research
∙
11/17/2021
MASS: Mobile Autonomous Station Simulation
We propose a set of tools to replay wireless network traffic traces, whi...
research
∙
10/13/2021
Reinforcement Learning for Standards Design
Communications standards are designed via committees of humans holding r...
research
∙
08/12/2021
SAFE: Secure Aggregation with Failover and Encryption
We propose and experimentally evaluate a novel secure aggregation algori...
research
∙
04/06/2021
Bandcoin: Using Smart Contracts to Automate Mobile Network Bandwidth Roaming Agreements
We propose a new way to share licensed spectrum bandwidth capacity in mo...
research
∙
12/08/2020
A Multi-Armed Bandit-based Approach to Mobile Network Provider Selection
We argue for giving users the ability to lease bandwidth temporarily fro...
research
∙
05/09/2020
Market-based Short-Term Allocations in Small Cell Wireless Networks
Mobile users (or UEs, to use 3GPP terminology) served by small cells in ...
research
∙
12/12/2019
General Information Bottleneck Objectives and their Applications to Machine Learning
We view the Information Bottleneck Principle (IBP: Tishby et al., 1999; ...
research
∙
11/06/2019
Machine Learning using the Variational Predictive Information Bottleneck with a Validation Set
Zellner (1988) modeled statistical inference in terms of information pro...
research
∙
12/25/2018