H. Vincent Poor

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Princeton University

Michael Henry Strater University Professor at Princeton University, Professor of Electrical Engineering at Princeton University, Dean, School of Engineering & Applied Science at Princeton University from 2006-2016, Founding Director, Keller Center for Innovation in Engineering Education at Princeton University from 2005-2006, George Van Ness Lathrop Professor in Engineering at Princeton University from 2003-2005, Professor of Electrical & Computer Engineering at University of Illinois at Urbana-Champaign from 1977-1990

Featured Co-authors

Rui Zhang
162 publications
Rui Wang
132 publications
Wei Chen
128 publications
Wei Xu
119 publications
Walid Saad
110 publications
Hao Chen
102 publications
Mehdi Bennis
99 publications
Bo Zhang
99 publications
Jun Li
89 publications
Deniz Gündüz
84 publications
Shi Jin
82 publications

Fast-Convergent Federated Learning

Federated learning has emerged recently as a promising solution for dist...
07/26/2020 ∙ by Hung T. Nguyen, et al. ∙ 0 ∙ share

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A Unified Framework for SINR Analysis in Poisson Networks with Traffic Dynamics

We study the performance of wireless links for a class of Poisson networ...
07/21/2020 ∙ by Howard H. Yang, et al. ∙ 0 ∙ share

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Learning Centric Power Allocation for Edge Intelligence

While machine-type communication (MTC) devices generate massive data, th...
07/21/2020 ∙ by Shuai Wang, et al. ∙ 0 ∙ share

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A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks

In this paper, a joint task, spectrum, and transmit power allocation pro...
07/20/2020 ∙ by Sihua Wang, et al. ∙ 0 ∙ share

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Sample, Quantize and Encode: Timely Estimation Over Noisy Channels

The effects of quantization and coding on the estimation quality of Gaus...
07/16/2020 ∙ by Ahmed Arafa, et al. ∙ 0 ∙ share

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Challenges and Prospects of Negawatt Trading in Light of Recent Technological Developments

With the advancement of the smart grid, the current energy system is mov...
07/16/2020 ∙ by Wayes Tushar, et al. ∙ 0 ∙ share

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Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization

In federated optimization, heterogeneity in the clients' local datasets ...
07/15/2020 ∙ by Jianyu Wang, et al. ∙ 0 ∙ share

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Deep Learning for Wireless Communications: An Emerging Interdisciplinary Paradigm

Wireless communications are envisioned to bring about dramatic changes i...
07/12/2020 ∙ by Linglong Dai, et al. ∙ 0 ∙ share

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Delay Minimization for Federated Learning Over Wireless Communication Networks

In this paper, the problem of delay minimization for federated learning ...
07/05/2020 ∙ by Zhaohui Yang, et al. ∙ 0 ∙ share

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RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network

Generative adversarial network (GAN) has attracted increasing attention ...
07/04/2020 ∙ by Chuan Ma, et al. ∙ 13 ∙ share

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Reconfigurable Intelligent Surface Assisted Device-to-Device Communications

With the evolution of the 5G, 6G and beyond, device-to-device (D2D) comm...
07/02/2020 ∙ by Yali Chen, et al. ∙ 0 ∙ share

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On the Latency, Rate and Reliability Tradeoff in Wireless Networked Control Systems for IIoT

Wireless networked control systems (WNCSs) provide a key enabling techni...
07/01/2020 ∙ by Wanchun Liu, et al. ∙ 0 ∙ share

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Pricing Fresh Data

We introduce the concept of fresh data trading, in which a destination u...
06/28/2020 ∙ by Meng Zhang, et al. ∙ 0 ∙ share

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Multi-Agent Reinforcement Learning for Cooperative Coded Caching via Homotopy Optimization

Introducing cooperative coded caching into small cell networks is a prom...
06/24/2020 ∙ by Xiongwei Wu, et al. ∙ 0 ∙ share

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Decentralized Beamforming Design for Intelligent Reflecting Surface-enhanced Cell-free Networks

Cell-free networks are considered as a promising distributed network arc...
06/22/2020 ∙ by Shaocheng Huang, et al. ∙ 0 ∙ share

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Federated Learning With Quantized Global Model Updates

We study federated learning (FL), which enables mobile devices to utiliz...
06/18/2020 ∙ by Mohammad Mohammadi Amiri, et al. ∙ 0 ∙ share

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Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters

Although model-agnostic meta-learning (MAML) is a very successful algori...
06/16/2020 ∙ by Kaiyi Ji, et al. ∙ 0 ∙ share

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Enhanced First and Zeroth Order Variance Reduced Algorithms for Min-Max Optimization

Min-max optimization captures many important machine learning problems s...
06/16/2020 ∙ by Tengyu Xu, et al. ∙ 0 ∙ share

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Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality

We study the distribution and uncertainty of nonconvex optimization for ...
06/15/2020 ∙ by Changxiao Cai, et al. ∙ 7 ∙ share

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Moving-Target Defense Against Cyber-Physical Attacks in Power Grids via Game Theory

This work proposes a moving target defense (MTD) strategy to detect coor...
06/13/2020 ∙ by Subhash Lakshminarayana, et al. ∙ 0 ∙ share

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MMSE Bounds Under Kullback-Leibler Divergence Constraints on the Joint Input-Output Distribution

This paper proposes a new family of lower and upper bounds on the minimu...
06/05/2020 ∙ by Michael Fauß, et al. ∙ 0 ∙ share

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UVeQFed: Universal Vector Quantization for Federated Learning

Traditional deep learning models are trained at a centralized server usi...
06/05/2020 ∙ by Nir Shlezinger, et al. ∙ 0 ∙ share

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Wireless Communications for Collaborative Federated Learning in the Internet of Things

Internet of Things (IoT) services will use machine learning tools to eff...
06/03/2020 ∙ by Mingzhe Chen, et al. ∙ 0 ∙ share

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Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks

In this paper, the design of an optimal trajectory for an energy-constra...
05/25/2020 ∙ by Ye Hu, et al. ∙ 0 ∙ share

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Recovering Data Permutation from Noisy Observations: The Linear Regime

This paper considers a noisy data structure recovery problem. The goal i...
05/15/2020 ∙ by Minoh Jeong, et al. ∙ 0 ∙ share

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Remote Short Blocklength Process Monitoring: Trade-off Between Resolution and Data Freshness

In cyber-physical systems, as in 5G and beyond, multiple physical proces...
05/11/2020 ∙ by Stefan Roth, et al. ∙ 0 ∙ share

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Nonparametric Estimation of the Fisher Information and Its Applications

This paper considers the problem of estimation of the Fisher information...
05/07/2020 ∙ by Wei Cao, et al. ∙ 10 ∙ share

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Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning

Machine learning algorithms operating on mobile networks can be characte...
05/05/2020 ∙ by Semih Yagli, et al. ∙ 0 ∙ share

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Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

This paper investigates the problem of resource allocation for a wireles...
05/01/2020 ∙ by Zhaohui Yang, et al. ∙ 0 ∙ share

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Timely Estimation Using Coded Quantized Samples

The effects of quantization and coding on the estimation quality of a Ga...
04/27/2020 ∙ by Ahmed Arafa, et al. ∙ 0 ∙ share

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Privacy-preserving Incremental ADMM for Decentralized Consensus Optimization

The alternating direction method of multipliers (ADMM) has been recently...
03/24/2020 ∙ by Yu Ye, et al. ∙ 0 ∙ share

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Data-Aided Channel Estimator for MIMO Systems via Reinforcement Learning

This paper presents a data-aided channel estimator that reduces the chan...
03/23/2020 ∙ by Yo-Seb Jeon, et al. ∙ 0 ∙ share

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Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks

In this paper, the problem of minimizing energy and time consumption for...
03/19/2020 ∙ by Sihua Wang, et al. ∙ 0 ∙ share

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Malicious Experts versus the multiplicative weights algorithm in online prediction

We consider a prediction problem with two experts and a forecaster. We a...
03/18/2020 ∙ by Erhan Bayraktar, et al. ∙ 0 ∙ share

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Gradient Estimation for Federated Learning over Massive MIMO Communication Systems

Federated learning is a communication-efficient and privacy-preserving s...
03/18/2020 ∙ by Yo-Seb Jeon, et al. ∙ 0 ∙ share

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Latency-Minimized Design of Secure Transmissions in UAV-Aided Communications

Unmanned aerial vehicles (UAVs) can be utilized as aerial base stations ...
03/14/2020 ∙ by Xiongwei Wu, et al. ∙ 0 ∙ share

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Performance Analysis and Optimization in Privacy-Preserving Federated Learning

As a means of decentralized machine learning, federated learning (FL) ha...
02/29/2020 ∙ by Kang Wei, et al. ∙ 0 ∙ share

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Wireless AI: Enabling an AI-Governed Data Life Cycle

Recent years have seen rapid deployment of mobile computing and Internet...
02/24/2020 ∙ by Dinh C Nguyen, et al. ∙ 0 ∙ share

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Optimizing Information Freshness in Wireless Networks: A Stochastic Geometry Approach

Optimization of information freshness in wireless networks has usually b...
02/19/2020 ∙ by Howard H. Yang, et al. ∙ 0 ∙ share

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Data-Driven False Data Injection Attacks Against Power Grid: A Random Matrix Approach

We address the problem of constructing false data injection (FDI) attack...
02/06/2020 ∙ by Subhash Lakshminarayana, et al. ∙ 0 ∙ share

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Bayes-optimal Methods for Finding the Source of a Cascade

We study the problem of estimating the source of a network cascade. The ...
01/31/2020 ∙ by Anirudh Sridhar, et al. ∙ 0 ∙ share

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A Class of Lower Bounds for Bayesian Risk with a Bregman Loss

A general class of Bayesian lower bounds when the underlying loss functi...
01/29/2020 ∙ by Alex Dytso, et al. ∙ 0 ∙ share

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On the Impact of Phase Shifting Designs on IRS-NOMA

In this letter, the impact of two phase shifting designs, namely random ...
01/29/2020 ∙ by Zhiguo Ding, et al. ∙ 0 ∙ share

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Update Aware Device Scheduling for Federated Learning at the Wireless Edge

We study federated learning (FL) at the wireless edge, where power-limit...
01/28/2020 ∙ by Mohammad Mohammadi Amiri, et al. ∙ 0 ∙ share

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RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design

A novel framework is proposed for the deployment and passive beamforming...
01/28/2020 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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Convergence Time Optimization for Federated Learning over Wireless Networks

In this paper, the convergence time of federated learning (FL), when dep...
01/22/2020 ∙ by Mingzhe Chen, et al. ∙ 0 ∙ share

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Peer-to-Peer Trading in Electricity Networks: An Overview

Peer-to-peer trading is a next-generation energy management technique th...
01/19/2020 ∙ by Wayes Tushar, et al. ∙ 0 ∙ share

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Biometric and Physical Identifiers with Correlated Noise for Controllable Private Authentication

The problem of secret-key based authentication under privacy and storage...
01/03/2020 ∙ by Onur Günlü, et al. ∙ 0 ∙ share

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Adversarial Policies in Learning Systems with Malicious Experts

We consider a learning system based on the conventional multiplicative w...
01/02/2020 ∙ by S. Rasoul Etesami, et al. ∙ 0 ∙ share

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A Coalition Formation Game Framework for Peer-to-Peer Energy Trading

This paper studies social cooperation backed peer-to-peer energy trading...
12/24/2019 ∙ by Wayes Tushar, et al. ∙ 0 ∙ share

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