Existing ns3/AI bridges target numeric reinforcement learning (RL) pipelines and cannot handle the text-centric prompt/response exchange, structured output validation, and multi-node orchestration that large language models (LLMs) require. We introduce ns3-GenAI, an open framework that augments the ns3 shared-memory in...
Su-Bin Han, Junkyu Hong, Sangheon Pack· Proceedings of the 2026 Inte...· 0 citations
QPFD is proposed, a coherence time-aware predictive filtering framework that estimates arrival-time usability and removes verification messages unlikely to preserve usable entanglement in hybrid quantum-classical networks.
Jihoon Lim, Junkyu Hong, H. Kim et al.· Conference on Applications,...· 0 citations
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.· IEEE Transactions on Network...· 0 citations
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