activity
20232026
most citedFedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

7 citations · 10 across the 16 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CR2025

Spatial Discretization for Fine-Grain Zone Checks with STARKs

Sungmin Lee, Kichang Lee, Gyeongmin Han +1

Many location-based services rely on a point-in-polygon test (PiP), checking whether a point or a trajectory lies inside a geographic zone. Since geometric operations are expensive…

eess.SY2025

Now or Never: Continuous Surveillance AIoT System for Ephemeral Events in Intermittent Sensor Networks

Joonhee Lee, Kichang Lee, Jeonggil Ko

Wilderness monitoring tasks, such as poaching surveillance and forest fire detection, require pervasive and high-accuracy sensing. While AIoT offers a promising path, covering vast…

cs.CR2025

Verifiable Dropout: Turning Randomness into a Verifiable Claim

Kichang Lee, Sungmin Lee, Jaeho Jin +1

Modern cloud-based AI training relies on extensive telemetry and logs to ensure accountability. While these audit trails enable retrospective inspection, they struggle to address t…

cs.LG2025

Toward Storage-Aware Learning with Compressed Data An Empirical Exploratory Study on JPEG

Kichang Lee, Songkuk Kim, JaeYeon Park +1

On-device machine learning is often constrained by limited storage, particularly in continuous data collection scenarios. This paper presents an empirical study on storage-aware le…

cs.AI2025

LLM-based Question-Answer Framework for Sensor-driven HVAC System Interaction

Sungmin Lee, Minju Kang, Joonhee Lee +6

Question-answering (QA) interfaces powered by large language models (LLMs) present a promising direction for improving interactivity with HVAC system insights, particularly for non…