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
163 publications
Rui Wang
144 publications
Wei Chen
141 publications
Wei Xu
130 publications
Walid Saad
114 publications
Hao Chen
114 publications
Bo Zhang
105 publications
Mehdi Bennis
104 publications
Jun Li
95 publications
Deniz Gündüz
91 publications
Shi Jin
84 publications

Enhanced User Grouping and Power Allocation for Hybrid mmWave MIMO-NOMA systems

Non-orthogonal multiple access (NOMA) and millimeter wave (mmWave) are t...
10/21/2020 ∙ by Jinle Zhu, et al. ∙ 0 ∙ share

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Blind Federated Edge Learning

We study federated edge learning (FEEL), where wireless edge devices, ea...
10/19/2020 ∙ by Mohammad Mohammadi Amiri, et al. ∙ 5 ∙ share

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Fundamentals of Physical Layer Anonymous Communications: Sender Detection and Anonymous Precoding

In the era of big data, anonymity is recognized as an important attribut...
10/18/2020 ∙ by Zhongxiang Wei, et al. ∙ 0 ∙ share

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Secure Transmission in IRS-Assisted MIMO Systems with Active Eavesdroppers

This work studies secure transmission in intelligent reflecting surfaces...
10/15/2020 ∙ by Ali Bereyhi, et al. ∙ 0 ∙ share

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Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing

Big data, including applications with high security requirements, are of...
10/02/2020 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Towards Self-learning Edge Intelligence in 6G

Edge intelligence, also called edge-native artificial intelligence (AI),...
10/01/2020 ∙ by Yong Xiao, et al. ∙ 0 ∙ share

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Matrix-Monotonic Optimization Part II: Multi-Variable Optimization

In contrast to Part I of this treatise [1] that focuses on the optimizat...
09/24/2020 ∙ by Chengwen Xing, et al. ∙ 0 ∙ share

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Learning Mixtures of Low-Rank Models

We study the problem of learning mixtures of low-rank models, i.e. recon...
09/23/2020 ∙ by Yanxi Chen, et al. ∙ 22 ∙ share

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When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm

Motivated by the advancing computational capabilities of wireless end us...
09/20/2020 ∙ by Chuan Ma, et al. ∙ 0 ∙ share

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A Tutorial of Ultra-Reliable and Low-Latency Communications in 6G: Integrating Theoretical Knowledge into Deep Learning

As one of the key communication scenarios in the 5th and also the 6th ge...
09/13/2020 ∙ by Changyang She, et al. ∙ 0 ∙ share

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Power Efficiency, Overhead, and Complexity Tradeoff in IRS-Assisted Communications – Quadratic Phase-Shift Design

In this paper, we focus on large intelligent reflecting surfaces (IRSs) ...
09/13/2020 ∙ by Vahid Jamali, et al. ∙ 0 ∙ share

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Smart Meter Data Privacy

Smart grids (SGs) promise to deliver dramatic improvements compared to t...
09/02/2020 ∙ by Giulio Giaconi, et al. ∙ 0 ∙ share

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Shannon Meets Turing: Non-Computability and Non-Approximability of the Finite State Channel Capacity

The capacity of finite state channels (FSCs) has been established as the...
08/30/2020 ∙ by Holger Boche, et al. ∙ 0 ∙ share

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Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic

Edge nodes (ENs) in Internet of Things commonly serve as gateways to cac...
08/30/2020 ∙ by Xiongwei Wu, et al. ∙ 0 ∙ share

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Convergence of Federated Learning over a Noisy Downlink

We study federated learning (FL), where power-limited wireless devices u...
08/25/2020 ∙ by Mohammad Mohammadi Amiri, et al. ∙ 4 ∙ share

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Age of Information in Random Access Networks: A Spatiotemporal Study

We investigate the age-of-information (AoI) in the context of random acc...
08/18/2020 ∙ by Howard H. Yang, et al. ∙ 0 ∙ share

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Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion

The paper considers distributed gradient flow (DGF) for multi-agent nonc...
08/12/2020 ∙ by Brian Swenson, et al. ∙ 0 ∙ share

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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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