2021년 8월 1일
Yonsei-Sydney Virtual Workshop on B5G and 6G Challenges and Opportunities of Wireless Communication
Title: Yonsei-Sydney Virtual Workshop on B5G and 6G Challenges and Opportunities of Wireless Communication for the Next 10 year 28. 7....


2021년 3월 9일
Taming Stragglers in Parallel Split Learning
3. 4. 2021, Jihong Park made a representation on ongoing work about communication-efficient parallel split learning at workshop in MIT...


2021년 1월 29일
Project : Verification of 5G-KOREN based Edge Computing for Smart factory
< Pangyo AI Network Lab Remote Demonstration> Our research team completed the project in which we validated edge cloud computing for...

2020년 12월 14일
Exploiting User Mobility for WiFi RTT Positioning: A Geometric Approach
This paper proposes a new hybrid positioning algorithm combining radio signal and IMU sensors. We describe the relationship between...

2020년 8월 14일
Constructing 3-Dimensional 5G Coverage Map for Real-time Airborne Missions
In both urban and rural firefighting scenarios of EUKR PriMO-5G project (https://primo-5g.eu), highly demanding (from both computing and...


2020년 6월 17일
Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup
In order to achieve both high accuracy and communication-efficiency under uplink-downlink asymmetric channels, we propose a distributed...

2020년 6월 2일
Understanding Uncertainty of Edge Computing: New Principle and Design Approach
This magazine article introduces computation uncertainty of edge computing to the wireless communication society. The simple and...


2020년 5월 28일
[RAMO Seminar] V2X-Based Vehicular Positioning: Opportunities, Challenges, and Future Direction
Speaker: Seung-Woo Ko, Assistant Professor / Korea Maritime and Ocean University, Korea Venue: Online by Zoom Date & time: Thursday 28th...
2020년 5월 8일
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning
This paper is an extended version of previous work, “Federated Reinforcement Learning with Proxy Experience Memory.” In previous work, we...
