78 citations · 137 across the 35 of their papers we have counts for
5 papers · 1 filter
Broadband Digital Over-the-Air Computation for Asynchronous Federated Edge Learning
Xinbo Zhao, Lizhao You, Rui Cao +2
This paper presents the first broadband digital over-the-air computation (AirComp) system for phase asynchronous OFDM-based federated edge learning systems. Existing analog AirComp…
Bayesian Over-The-Air Computation
Yulin Shao, Deniz Gunduz, Soung Chang Liew
As an important piece of the multi-tier computing architecture for future wireless networks, over-the-air computation (OAC) enables efficient function computation in multiple-acces…
Denoising Noisy Neural Networks: A Bayesian Approach with Compensation
Yulin Shao, Soung Chang Liew, Deniz Gunduz
Deep neural networks (DNNs) with noisy weights, which we refer to as noisy neural networks (NoisyNNs), arise from the training and inference of DNNs in the presence of noise. Noisy…
Federated Edge Learning with Misaligned Over-The-Air Computation
Yulin Shao, Deniz Gunduz, Soung Chang Liew
Over-the-air computation (OAC) is a promising technique to realize fast model aggregation in the uplink of federated edge learning. OAC, however, hinges on accurate channel-gain pr…
Uncertainty-of-Information Scheduling: A Restless Multi-armed Bandit Framework
Gongpu Chen, Soung Chang Liew, Yulin Shao
This paper proposes using the uncertainty of information (UoI), measured by Shannon's entropy, as a metric for information freshness. We consider a system in which a central monito…