6 citations · 7 across the 5 of their papers we have counts for
5 papers
Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control
Yongjun Kim, Sejin Seo, Jihong Park +3
In this work, we compare emergent communication (EC) built upon multi-agent deep reinforcement learning (MADRL) and language-oriented semantic communication (LSC) empowered by a pr…
Towards Semantic Communication Protocols: A Probabilistic Logic Perspective
Sejin Seo, Jihong Park, Seung-Woo Ko +3
Classical medium access control (MAC) protocols are interpretable, yet their task-agnostic control signaling messages (CMs) are ill-suited for emerging mission-critical application…
Communication-Efficient and Personalized Federated Lottery Ticket Learning
Sejin Seo, Seung-Woo Ko, Jihong Park +2
The lottery ticket hypothesis (LTH) claims that a deep neural network (i.e., ground network) contains a number of subnetworks (i.e., winning tickets), each of which exhibiting iden…
Understanding Uncertainty of Edge Computing: New Principle and Design Approach
Sejin Seo, Sang Won Choi, Sujin Kook +2
Due to the edge's position between the cloud and the users, and the recent surge of deep neural network (DNN) applications, edge computing brings about uncertainties that must be u…
A Public Safety Framework for Immersive Aerial Monitoring through 5G Commercial Network
Sejin Seo, Seunghwan Kim, Seong-Lyun Kim
Are 5G connection and UAVs merely parts of an extravagant and luxurious world, or are they essential parts of a practical world in a way we have yet to see? To aid in a direction t…