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11/25/2022
Inverse Solvability and Security with Applications to Federated Learning
We introduce the concepts of inverse solvability and security for a gene...
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05/23/2022
ALPINE: A set of performance portable plasma physics particle-in-cell mini-apps for exascale computing
Alpine consists of a set of mini-apps that makes use of exascale computi...
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05/19/2022
A Learning-Based Approach to Approximate Coded Computation
Lagrange coded computation (LCC) is essential to solving problems about ...
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05/16/2022
Semantic Security with Infinite Dimensional Quantum Eavesdropping Channel
We propose a new proof method for direct coding theorems for wiretap cha...
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01/12/2021
Over-The-Air Computation in Correlated Channels
This paper addresses the problem of Over-The-Air (OTA) computation in wi...
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08/21/2020
Sparse Grids based Adaptive Noise Reduction strategy for Particle-In-Cell schemes
We propose a sparse grids based adaptive noise reduction strategy for el...
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07/06/2020
Over-The-Air Computation for Distributed Machine Learning
Motivated by various applications in distributed Machine Learning (ML) i...
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01/09/2020
Securing Distributed Function Approximation via Coding for Continuous Compound Channels
We revisit the problem of distributed approximation of functions over mu...
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07/08/2019
Distributed Approximation of Functions over Fast Fading Channels with Applications to Distributed Learning and the Max-Consensus Problem
In this work, we consider the problem of distributed approximation of fu...
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03/07/2019
A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks
We introduce ScalableMax, a novel communication scheme for achieving max...
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01/11/2018
