257 citations · 1.4k across the 55 of their papers we have counts for
11 papers · 1 filter
Sequential Learning of CSI for MmWave Initial Alignment
Nancy Ronquillo, Sung-En Chiu, Tara Javidi
MmWave communications aim to meet the demand for higher data rates by using highly directional beams with access to larger bandwidth. An inherent challenge is acquiring channel sta…
Advances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent +56
Federated learning (FL) is a machine learning setting where many clients (e.g. mobile devices or whole organizations) collaboratively train a model under the orchestration of a cen…
ASCAI: Adaptive Sampling for acquiring Compact AI
Mojan Javaheripi, Mohammad Samragh, Tara Javidi +1
This paper introduces ASCAI, a novel adaptive sampling methodology that can learn how to effectively compress Deep Neural Networks (DNNs) for accelerated inference on resource-cons…
Adaptive Sampling for Estimating Multiple Probability Distributions
Shubhanshu Shekhar, Tara Javidi, Mohammad Ghavamzadeh
We consider the problem of allocating samples to a finite set of discrete distributions in order to learn them uniformly well in terms of four common distance measures: ,…
Active Learning for Binary Classification with Abstention
Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi
We construct and analyze active learning algorithms for the problem of binary classification with abstention. We consider three abstention settings: \emph{fixed-cost} and two varia…
Decentralized Bayesian Learning over Graphs
Anusha Lalitha, Xinghan Wang, Osman Kilinc +3
We propose a decentralized learning algorithm over a general social network. The algorithm leaves the training data distributed on the mobile devices while utilizing a peer to peer…