- 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...
