434 citations · 1.3k across the 83 of their papers we have counts for
15 papers · 1 filter
Attention Based Communication and Control for Multi-UAV Path Planning
Hamid Shiri, Hyowoon Seo, Jihong Park +1
Inspired by the multi-head attention (MHA) mechanism in natural language processing, this letter proposes an iterative single-head attention (ISHA) mechanism for multi-UAV path pla…
Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning
Shraman Pal, Mansi Uniyal, Jihong Park +5
In recent years, there have been great advances in the field of decentralized learning with private data. Federated learning (FL) and split learning (SL) are two spearheads possess…
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding
Hankyul Baek, Won Joon Yun, Soyi Jung +4
Mobile devices are indispensable sources of big data. Federated learning (FL) has a great potential in exploiting these private data by exchanging locally trained models instead of…
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks
Hankyul Baek, Won Joon Yun, Yunseok Kwak +5
This paper aims to integrate two synergetic technologies, federated learning (FL) and width-adjustable slimmable neural network (SNN) architectures. FL preserves data privacy by ex…
Learning Emergent Random Access Protocol for LEO Satellite Networks
Ju-Hyung Lee, Hyowoon Seo, Jihong Park +2
A mega-constellation of low-altitude earth orbit (LEO) satellites (SATs) are envisaged to provide a global coverage SAT network in beyond fifth-generation (5G) cellular systems. LE…
Semantics-Native Communication with Contextual Reasoning
Hyowoon Seo, Jihong Park, Mehdi Bennis +1
Spurred by a huge interest in the post-Shannon communication, it has recently been shown that leveraging semantics can significantly improve the communication effectiveness across…
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication
Won Joon Yun, Byungju Lim, Soyi Jung +4
In this article, we study the problem of air-to-ground ultra-reliable and low-latency communication (URLLC) for a moving ground user. This is done by controlling multiple unmanned…
Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations
Sumudu Samarakoon, Jihong Park, Mehdi Bennis
In this paper, the problem of robust reconfigurable intelligent surface (RIS) system design under changes in data distributions is investigated. Using the notion of invariant risk…
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning
Yusuke Koda, Jihong Park, Mehdi Bennis +2
Wireless channels can be inherently privacy-preserving by distorting the received signals due to channel noise, and superpositioning multiple signals over-the-air. By harnessing th…
Combinatorial Data Augmentation: A Key Enabler to Bridge Geometry- and Data-Driven WiFi Positioning
Seung Min Yu, Jihong Park, Seung-Woo Ko
Due to the emergence of various wireless sensing technologies, numerous positioning algorithms have been introduced in the literature, categorized into \emph{geometry-driven positi…
Communication-Efficient and Personalized Federated Lottery Ticket Learning
Sejin Seo, Seung-Woo Ko, Jihong Park +2
The lottery ticket hypothesis (LTH) claims that a deep neural network (i.e., ground network) contains a number of subnetworks (i.e., winning tickets), each of which exhibiting iden…
Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction
Abanoub M. Girgis, Hyowoon Seo, Jihong Park +2
Remote state monitoring over wireless is envisaged to play a pivotal role in enabling beyond 5G applications ranging from remote drone control to remote surgery. One key challenge…
Predictive Control and Communication Co-Design via Two-Way Gaussian Process Regression and AoI-Aware Scheduling
Abanoub M. Girgis, Jihong Park, Mehdi Bennis +1
This article studies the joint problem of uplink-downlink scheduling and power allocation for controlling a large number of actuators that upload their states to remote controllers…
Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus
Hang Chen, Syed Ali Asif, Jihong Park +2
Federated learning (FL) is a promising distributed learning solution that only exchanges model parameters without revealing raw data. However, the centralized architecture of FL is…
Mean-Field Game-Theoretic Edge Caching
Hyesung Kim, Jihong Park, Mehdi Bennis +2
In this book chapter, we study a problem of distributed content caching in an ultra-dense edge caching network (UDCN), in which a large number of small base stations (SBSs) prefetc…