activity
20182023
most citedTesting the Structure of a Gaussian Graphical Model with Reduced Transmissions in a Distributed Setting

12 citations · 26 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2023

Learning to Initialize Trajectory Optimization for Vision-Based Autonomous Flight in Unknown Environments

Yicheng Chen, Jinjie Li, Wenyuan Qin +3

Autonomous flight in unknown environments requires precise spatial and temporal trajectory planning, often involving computationally expensive nonconvex optimization prone to local…

cs.LG2022

Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent

Yicheng Chen, Rick S. Blum, Brian M. Sadler

Distributed machine learning enables scalability and computational offloading, but requires significant levels of communication. Consequently, communication efficiency in distribut…

cs.LG2022

Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting

Yicheng Chen, Rick S. Blum, Brian M. Sadler

The challenge of communication-efficient distributed optimization has attracted attention in recent years. In this paper, a communication efficient algorithm, called ordering-based…

cs.LG2022

Distributed Learning With Sparsified Gradient Differences

Yicheng Chen, Rick S. Blum, Martin Takac +1

A very large number of communications are typically required to solve distributed learning tasks, and this critically limits scalability and convergence speed in wireless communica…

cs.MA2021★ 5 cited

Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning

Huan Chang, Yicheng Chen, Baochang Zhang +1

Unmanned Aerial vehicles (UAVs) are widely used as network processors in mobile networks, but more recently, UAVs have been used in Mobile Edge Computing as mobile servers. However…

eess.SP2020★ 9 cited

Ordering for Communication-Efficient Quickest Change Detection in a Decomposable Graphical Model

Yicheng Chen, Rick S. Blum, Brian M. Sadler

A quickest change detection problem is considered in a sensor network with observations whose statistical dependency structure across the sensors before and after the change is des…

eess.SP2019★ 12 cited

Testing the Structure of a Gaussian Graphical Model with Reduced Transmissions in a Distributed Setting

Yicheng Chen, Rick S. Blum, Brian M. Sadler +1

Testing a covariance matrix following a Gaussian graphical model (GGM) is considered in this paper based on observations made at a set of distributed sensors grouped into clusters.…

eess.SP2018

On the Impact of Unknown Signals in Passive Radar with Direct Path and Reflected Path Observations

Yicheng Chen, Rick S. Blum

We derive the closed form Cramer-Rao bound (CRB) expressions for joint estimation of time delay and Doppler shift with unknown signals with possibly known structure. The results ar…