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Sangwon Seo

KTH Royal Institute of Technology

Sweden

Research Interests

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Professors in Sweden

Articles (7)

Year:

2025

Year:

2025

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Collaborators (1)

Sangheon Pack

Professor

Korea University

SOUTH KOREA

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ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Sangwon Seo

Research Interests

Make your next move.

Explore related searches

Articles (7)

Dynamic Split Computing Framework for Multi-Task Learning Models: A Deep Reinforcement Learning Approach

On the Feasibility of URLLC with Mandatory 3GPP Features: Reliability and Latency vs. Efficiency

Data Distribution-Aware Online Client Selection Algorithm for Federated Learning in Heterogeneous Networks

Joint Client Selection and Bandwidth Allocation Algorithm for Federated Learning

Situation-Aware Cluster and Quantization Level Selection Algorithm for Fast Federated Learning

Fast Connectivity Construction via Deep Channel Learning Cognition in Beyond 5G D2D Networks

Design and implementation of integrated tactical mobility testbed

Collaborators (1)

Sangheon Pack

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