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20212024
most citedServer-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning

12 citations · 38 across the 21 of their papers we have counts for

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11 papers

cs.LG2023

Energy-Efficient Downlink Semantic Generative Communication with Text-to-Image Generators

Hyein Lee, Jihong Park, Sooyoung Kim +1

In this paper, we introduce a novel semantic generative communication (SGC) framework, where generative users leverage text-to-image (T2I) generators to create images locally from…

cs.AI2023

Energy-Efficient UAV-Assisted IoT Data Collection via TSP-Based Solution Space Reduction

Sivaram Krishnan, Mahyar Nemati, Seng W. Loke +2

This paper presents a wireless data collection framework that employs an unmanned aerial vehicle (UAV) to efficiently gather data from distributed IoT sensors deployed in a large a…

cs.LG2023

Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks

Sivaram Krishnan, Jihong Park, Subhash Sagar +3

Low probability of detection (LPD) has recently emerged as a means to enhance the privacy and security of wireless networks. Unlike existing wireless security techniques, LPD measu…

cs.CL2023

FCC: Fusing Conversation History and Candidate Provenance for Contextual Response Ranking in Dialogue Systems

Zihao Wang, Eugene Agichtein, Jinho Choi

Response ranking in dialogues plays a crucial role in retrieval-based conversational systems. In a multi-turn dialogue, to capture the gist of a conversation, contextual informatio…

cs.LG2023

A Subspace Projection Approach to Autoencoder-based Anomaly Detection

Jinho Choi, Jihong Park, Abhinav Japesh +1

Autoencoder (AE) is a neural network (NN) architecture that is trained to reconstruct an input at its output. By measuring the reconstruction errors of new input samples, AE can de…

cs.IT2023

Multiuser Offloading with Cloud Server Data

Jinho Choi

Computation offloading becomes useful for users of limited computing power and mobile edge computing (MEC) can help mobile users perform their tasks more effectively. In this paper…