activity
20202024
most citedMulti-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point

22 citations · 24 across the 11 of their papers we have counts for

collaborators

11 papers

cs.NI2024

Key Focus Areas and Enabling Technologies for 6G

Christopher G. Brinton, Mung Chiang, Kwang Taik Kim +14

We provide a taxonomy of a dozen enabling network architectures, protocols, and technologies that will define the evolution from 5G to 6G. These technologies span the network proto…

cs.CV2024

HopTrack: A Real-time Multi-Object Tracking System for Embedded Devices

Xiang Li, Cheng Chen, Yuan-yao Lou +3

Multi-Object Tracking (MOT) poses significant challenges in computer vision. Despite its wide application in robotics, autonomous driving, and smart manufacturing, there is limited…

cs.DC2024★ 1 cited

E-MPC: Edge-assisted Model Predictive Control

Yuan-Yao Lou, Jonathan Spencer, Kwang Taik Kim +1

Model predictive control (MPC) has become the de facto standard action space for local planning and learning-based control in many continuous robotic control tasks, including auton…

eess.SY2024

Utilizing Priors in Sampling-based Cost Minimization

Yuan-Yao Lou, Jonathan Spencer, Kwang Taik Kim +1

We consider an autonomous vehicle (AV) agent performing a long-term cost-minimization problem in the elapsed time over sequences of states and actions for s…

cs.NI2024

Dynamic DAG-Application Scheduling for Multi-Tier Edge Computing in Heterogeneous Networks

Xiang Li, Mustafa Abdallah, Yuan-Yao Lou +3

Edge computing is deemed a promising technique to execute latency-sensitive applications by offloading computation-intensive tasks to edge servers. Extensive research has been cond…

cs.DC2023

DAG-based Task Orchestration for Edge Computing

Xiang Li, Mustafa Abdallah, Shikhar Suryavansh +2

As we increase the number of personal computing devices that we carry (mobile devices, tablets, e-readers, and laptops) and these come equipped with increasing resources, there is…

cs.LG2022

Interference Cancellation GAN Framework for Dynamic Channels

Hung T. Nguyen, Steven Bottone, Kwang Taik Kim +2

Symbol detection is a fundamental and challenging problem in modern communication systems, e.g., multiuser multiple-input multiple-output (MIMO) setting. Iterative Soft Interferenc…

cs.LG2022★ 22 cited

Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point

Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim +4

We propose cooperative edge-assisted dynamic federated learning (CE-FL). CE-FL introduces a distributed machine learning (ML) architecture, where data collection is carried out at…

cs.LG2021

Adversarial Neural Networks for Error Correcting Codes

Hung T. Nguyen, Steven Bottone, Kwang Taik Kim +2

Error correcting codes are a fundamental component in modern day communication systems, demanding extremely high throughput, ultra-reliability and low latency. Recent approaches us…

cs.LG2021

On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge

Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim +1

Edge computing has revolutionized the world of mobile and wireless networks world thanks to its flexible, secure, and performing characteristics. Lately, we have witnessed the incr…

cs.DC2020★ 1 cited

I-BOT: Interference-Based Orchestration of Tasks for Dynamic Unmanaged Edge Computing

Shikhar Suryavansh, Chandan Bothra, Kwang Taik Kim +3

In recent years, edge computing has become a popular choice for latency-sensitive applications like facial recognition and augmented reality because it is closer to the end users c…