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Haneul Ko

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Open access Sep 2026

Reliability- and Latency-Aware ATSSS Framework for URLLC Services

Ultra-reliable and low-latency communication (URLLC) services require strong latency and reliability performance under dynamic network conditions. However, achieving robust URLLC performance under single access is challenging due to user mobility, time-varying traffic loads, and fluctuating access availability. Multi-a...

Young-Bok Kang, Seoyeon Kim, Jinu Kim et al. · 0 citations
2026

Traffic- and Multi-Tenancy-Aware In-Network Aggregation Placement for Distributed Machine Learning

Distributed machine learning is an effective method to alleviate the intensive computation costs of training; however, it suffers from network bottlenecks while collecting local results. The recent advent of programmable data planes has opened a new avenue, in-network aggregation, which executes gradient aggregations i...

H. Kim, Hochan Lee, Chanbin Bae et al. · 0 citations

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