research
∙
08/25/2022
Fundamentals of Task-Agnostic Data Valuation
We study valuing the data of a data owner/seller for a data seeker/buyer...
share
research
∙
07/08/2022
Private independence testing across two parties
We introduce π-test, a privacy-preserving algorithm for testing statisti...
research
∙
06/12/2022
Communication-Efficient Federated Learning over MIMO Multiple Access Channels
Communication efficiency is of importance for wireless federated learnin...
research
∙
10/19/2020
Blind Federated Edge Learning
We study federated edge learning (FEEL), where wireless edge devices, ea...
research
∙
09/28/2020
Communicate to Learn at the Edge
Bringing the success of modern machine learning (ML) techniques to mobil...
research
∙
08/25/2020
Convergence of Federated Learning over a Noisy Downlink
We study federated learning (FL), where power-limited wireless devices u...
research
∙
06/18/2020
Federated Learning With Quantized Global Model Updates
We study federated learning (FL), which enables mobile devices to utiliz...
research
∙
03/18/2020
Gradient Estimation for Federated Learning over Massive MIMO Communication Systems
Federated learning is a communication-efficient and privacy-preserving s...
research
∙
01/28/2020
Update Aware Device Scheduling for Federated Learning at the Wireless Edge
We study federated learning (FL) at the wireless edge, where power-limit...
research
∙
01/05/2020
Multi-Antenna Coded Content Delivery with Caching: A Low-Complexity Solution
We study downlink beamforming in a single-cell network with a multi-ante...
research
∙
07/23/2019
Federated Learning over Wireless Fading Channels
We study federated machine learning at the wireless network edge, where ...
research
∙
07/08/2019
Collaborative Machine Learning at the Wireless Edge with Blind Transmitters
We study wireless collaborative machine learning (ML), where mobile edge...
research
∙
03/09/2019
A Low-Complexity Cache-Aided Multi-antenna Content Delivery Scheme
We study downlink beamforming in a single-cell network with a multi-ante...
research
∙
01/03/2019
Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air
We study collaborative machine learning at the wireless edge, where powe...
research
∙
10/23/2018
Computation Scheduling for Distributed Machine Learning with Straggling Workers
We study the scheduling of computation tasks across n workers in a large...
research
∙
08/14/2018
Audience-Retention-Rate-Aware Caching and Coded Video Delivery with Asynchronous Demands
Most results on coded caching focus on a static scenario, in which a fix...
research
∙
06/26/2018
On the Capacity Region of a Cache-Aided Gaussian Broadcast Channel with Multi-Layer Messages
A cache-aided K-user Gaussian broadcast channel (BC) is studied. The tra...
research
∙
12/09/2017