89 citations · 317 across the 13 of their papers we have counts for
13 papers
Joint Optimization of Communications and Federated Learning Over the Air
Xin Fan, Yue Wang, Yan Huo +1
Federated learning (FL) is an attractive paradigm for making use of rich distributed data while protecting data privacy. Nonetheless, nonideal communication links and limited trans…
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air
Xin Fan, Yue Wang, Yan Huo +1
For distributed learning among collaborative users, this paper develops and analyzes a communication-efficient scheme for federated learning (FL) over the air, which incorporates 1…
The Capacity of Multi-user Private Information Retrieval for Computationally Limited Databases
William Barnhart, Zhi Tian
We present a private information retrieval (PIR) scheme that allows a user to retrieve a single message from an arbitrary number of databases by colluding with other users while hi…
Third-Order Statistics Reconstruction from Compressive Measurements
Yanbo Wang, Zhi Tian
Estimation of third-order statistics relies on the availability of a huge amount of data records, which can pose severe challenges on the data collecting hardware in terms of consi…
COKE: Communication-Censored Decentralized Kernel Learning
Ping Xu, Yue Wang, Xiang Chen +1
This paper studies the decentralized optimization and learning problem where multiple interconnected agents aim to learn an optimal decision function defined over a reproducing ker…
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization
Weiyu Li, Yaohua Liu, Zhi Tian +1
In this paper, we propose a communication- and computation-efficient algorithm to solve a convex consensus optimization problem defined over a decentralized network. A remarkable e…
Super-Resolution Channel Estimation for Arbitrary Arrays in Hybrid Millimeter-Wave Massive MIMO Systems
Yue Wang, Yu Zhang, Zhi Tian +2
This paper develops efficient channel estimation techniques for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems under practical hardware limitations,…
A Class of Distributed Event-Triggered Average Consensus Algorithms for Multi-Agent Systems
Ping Xu, Cameron Nowzari, Zhi Tian
This paper proposes a class of distributed event-triggered algorithms that solve the average consensus problem in multi-agent systems. By designing events such that a specifically…
A Hybrid Neural Network Framework and Application to Radar Automatic Target Recognition
Zhe Zhang, Xiang Chen, Zhi Tian
Deep neural networks (DNNs) have found applications in diverse signal processing (SP) problems. Most efforts either directly adopt the DNN as a black-box approach to perform certai…
ANM-PhaseLift: Structured Line Spectrum Estimation from Quadratic Measurements
Zhe Zhang, Zhi Tian
PhaseLift is a noted convex optimization technique for phase retrieval that can recover a signal exactly from amplitude measurements only, with high probability. Conventional Phase…
Low-complexity optimization for Two-Dimensional Direction-of-arrival Estimation via Decoupled Atomic Norm Minimization
Zhi Tian, Zhe Zhang, Yue Wang
This paper presents an efficient optimization technique for super-resolution two-dimensional (2D) direction of arrival (DOA) estimation by introducing a new formulation of atomic n…
Efficient Two-Dimensional Line Spectrum Estimation Based on Decoupled Atomic Norm Minimization
Zhe Zhang, Yue Wang, Zhi Tian
This paper presents an efficient optimization technique for gridless {2-D} line spectrum estimation, named decoupled atomic norm minimization (D-ANM). The framework of atomic norm…
Tracking Target Signal Strengths on a Grid using Sparsity
Shahrokh Farahmand, Georgios B. Giannakis, Geert Leus +1
Multi-target tracking is mainly challenged by the nonlinearity present in the measurement equation, and the difficulty in fast and accurate data association. To overcome these chal…