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20112025
most citedEfficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage

1.2k citations · 9.5k across the 261 of their papers we have counts for

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35 papers · 1 filter

cs.NI2022

Enabling the Wireless Metaverse via Semantic Multiverse Communication

Jihong Park, Jinho Choi, Seong-Lyun Kim +1

Metaverse over wireless networks is an emerging use case of the sixth generation (6G) wireless systems, posing unprecedented challenges in terms of its multi-modal data transmissio…

quant-ph2022★ 4 cited

Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding

Won Joon Yun, Jae Pyoung Kim, Hankyul Baek +4

While witnessing the noisy intermediate-scale quantum (NISQ) era and beyond, quantum federated learning (QFL) has recently become an emerging field of study. In QFL, each quantum c…

cs.LG2022★ 1 cited

On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning

Stefano Savazzi, Vittorio Rampa, Sanaz Kianoush +1

Recent advances in Federated Learning (FL) have paved the way towards the design of novel strategies for solving multiple learning tasks simultaneously, by leveraging cooperation a…

eess.SP2022★ 7 cited

Goal-Oriented Communications for the IoT and Application to Data Compression

Chao Zhang, Hang Zou, Samson Lasaulce +3

Internet of Things (IoT) devices will play an important role in emerging applications, since their sensing, actuation, processing, and wireless communication capabilities stimulate…

eess.SP2022★ 2 cited

Semantic-Native Communication: A Simplicial Complex Perspective

Qiyang Zhao, Mehdi Bennis, Merouane Debbah +1

Semantic communication enables intelligent agents to extract meaning (or semantics) of information via interaction, to carry out collaborative tasks. In this paper, we study semant…

cs.DC2022★ 4 cited

Differentially Private CutMix for Split Learning with Vision Transformer

Seungeun Oh, Jihong Park, Sihun Baek +5

Recently, vision transformer (ViT) has started to outpace the conventional CNN in computer vision tasks. Considering privacy-preserving distributed learning with ViT, federated lea…