Wireless Federated Learning over UAV-enabled Integrated Sensing and Communication

2024-11-01 · Shaba Shaon, Tien Nguyen, Lina Mohjazi, Aryan Kaushik, Dinh C. Nguyen

This paper studies a new latency optimization problem in unmanned aerial vehicles (UAVs)-enabled federated learning (FL) with integrated sensing and communication. In this setup, distributed UAVs participate in model training using sensed data and collaborate with a base station (BS) serving as FL aggregator to build a global model. The objective is to minimize the FL system latency over UAV networks by jointly optimizing UAVs' trajectory and resource allocation of both UAVs and the BS. The formulated optimization problem is troublesome to solve due to its non-convexity. Hence, we develop a simple yet efficient iterative algorithm to find a high-quality approximate solution, by leveraging block coordinate descent and successive convex approximation techniques. Simulation results demonstrate the effectiveness of our proposed joint optimization strategy under practical parameter settings, saving the system latency up to 68.54\% compared to benchmark schemes.

📄 PDF Abstract BibTeX arXiv:2411.08918

Code (0)

등록된 구현이 없습니다.

Tasks

Federated LearningIntegrated sensing and communication

Methods 이 논문이 사용한 방법론

BASE 설명 없음

Federated Multi Agent Deep Learning and Neural Networks for Advanced Distributed Sensing in Wireless Networks

2026-02-24 · Nadine Muller, Stefano DeRosa, Su Zhang, Chun Lee Huan arxiv

Multi-agent deep learning (MADL), including multi-agent deep reinforcement learning (MADRL), distributed/federated training, and graph-structured neural networks, is becoming a unifying framework for decision-making and …

Reinforcement Learning Intrusion Detection

Security and Privacy of 6G Federated Learning-enabled Dynamic Spectrum Sharing

2024-06-18 · Viet Vo, Thusitha Dayaratne, Blake Haydon, Xingliang Yuan 외

Spectrum sharing is increasingly vital in 6G wireless communication, facilitating dynamic access to unused spectrum holes. Recently, there has been a significant shift towards employing machine learning (ML) techniques f…

Federated Learning

Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning

2025-08-21 · Dingzhu Wen, Sijing Xie, Xiaowen Cao, Yuanhao Cui 외 arxiv

This paper studies an over-the-air federated edge learning (Air-FEEL) system with integrated sensing, communication, and computation (ISCC), in which one edge server coordinates multiple edge devices to wirelessly sense …

AI-Native Integrated Sensing and Communications for Self-Organizing Wireless Networks: Architectures, Learning Paradigms, and System-Level Design

2025-12-29 · S. Zhang, M. Feizarefi, A. F. Mirzaei arxiv

Integrated Sensing and Communications (ISAC) is emerging as a foundational paradigm for next-generation wireless networks, enabling communication infrastructures to simultaneously support data transmission and environmen…

Reinforcement Learning

An Overview on IRS-Enabled Sensing and Communications for 6G: Architectures, Fundamental Limits, and Joint Beamforming Designs

2024-11-11 · Xianxin Song, Yuan Fang, Feng Wang, Zixiang Ren 외

This paper presents an overview on intelligent reflecting surface (IRS)-enabled sensing and communication for the forthcoming sixth-generation (6G) wireless networks, in which IRSs are strategically deployed to proactive…

Integrated sensing and communication ISAC parameter estimation