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Related papers: Over-the-Air Computation for 6G: Foundations, Tech…

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In a multi-agent system, agents can cooperatively learn a model from data by exchanging their estimated model parameters, without the need to exchange the locally available data used by the agents. This strategy, often called federated…

Machine Learning · Computer Science 2023-05-09 Halil Yigit Oksuz , Fabio Molinari , Henning Sprekeler , Jörg Raisch

To overcome inherent limitations of analog signals in over-the-air computation (AirComp), this letter proposes a two's complement-based coding scheme for the AirComp implementation with compatible digital modulations. Specifically,…

Signal Processing · Electrical Eng. & Systems 2026-01-01 Zhixu Wang , Jiacheng Yao , Wei Xu , Wei Shi , Kaibin Huang

With the advent of the Internet-of-Things (IoT) era, the ever-increasing number of devices and emerging applications have triggered the need for ubiquitous connectivity and more efficient computing paradigms. These stringent demands have…

Information Theory · Computer Science 2021-06-28 Malong Ke , Zhen Gao , Yang Huang , Guoru Ding , Derrick Wing Kwan Ng , Qihui Wu , Jun Zhang

With the rapid rise of the Low-Altitude Economy (LAE), the demand for intelligent processing and real-time response in services such as aerial traffic, emergency communications, and environmental monitoring continues to grow. Meanwhile, the…

Networking and Internet Architecture · Computer Science 2025-11-25 Yan Sun , Yinqiu Liu , Shaoyong Guo , Ruichen Zhang , Jiacheng Wang , Feng Qi , Xuesong Qiu , Dusit Niyato

Over-the-air computation (AirComp) enables fast data aggregation for edge intelligence applications. However the performance of AirComp can be severely degraded by channel misalignments. Pinching antenna systems (PASS) have recently emerged…

Information Theory · Computer Science 2025-05-13 Zhonghao Lyu , Haoyun Li , Yulan Gao , Ming Xiao , H. Vincent Poor

Over-the-air computation (AirComp) enables fast wireless data aggregation at the receiver through concurrent transmission by sensors in the application of Internet-of-Things (IoT). To further improve the performance of AirComp under…

Information Theory · Computer Science 2022-06-15 Wenhui Zhang , Jindan Xu , Wei Xu , Xiaohu You , Weijie Fu

Federated edge learning is envisioned as the bedrock of enabling intelligence in next-generation wireless networks, but the limited spectral resources often constrain its scalability. In light of this challenge, a line of recent research…

Machine Learning · Computer Science 2023-06-21 Zihan Chen , Howard H. Yang , Tony Q. S. Quek

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 the objects and use…

Information Theory · Computer Science 2025-08-22 Dingzhu Wen , Sijing Xie , Xiaowen Cao , Yuanhao Cui , Jie Xu , Yuanming Shi , Shuguang Cui

The conventional FL methods face critical challenges in realistic wireless edge networks, where training data is both limited and heterogeneous, often leading to unstable training and poor generalization. To address these challenges in a…

Signal Processing · Electrical Eng. & Systems 2025-06-09 Jun-Pyo Hong , Hyowoon Seo , Kisong Lee

The roll-out of various emerging wireless services has triggered the need for the sixth-generation (6G) wireless networks to provide functions of target sensing, intelligent computing and information communication over the same radio…

Information Theory · Computer Science 2022-07-11 Qiao Qi , Xiaoming Chen , Ata Khalili , Caijun Zhong , Zhaoyang Zhang , Derrick Wing Kwan Ng

In the era of the Internet of Things and massive connectivity, many engineering applications, such as sensor fusion and federated edge learning, rely on efficient data aggregation from geographically distributed users over wireless…

Signal Processing · Electrical Eng. & Systems 2025-12-02 David Nordlund , Luis Maßny , Antonia Wachter-Zeh , Erik G. Larsson , Zheng Chen

Over-the-air computation (AirComp) has emerged as a promising technology for fast wireless data aggregation by harnessing the superposition property of wireless multiple-access channels. This paper investigates a fluid antenna (FA)…

Information Theory · Computer Science 2025-02-14 Deyou Zhang , Sicong Ye , Ming Xiao , Kezhi Wang , Marco Di Renzo , Mikael Skoglund

Federated learning (FL), as an emerging distributed machine learning paradigm, allows a mass of edge devices to collaboratively train a global model while preserving privacy. In this tutorial, we focus on FL via over-the-air computation…

Machine Learning · Computer Science 2023-10-17 Jingyang Zhu , Yuanming Shi , Yong Zhou , Chunxiao Jiang , Wei Chen , Khaled B. Letaief

The sixth-generation (6G) wireless communication network is expected to integrate the terrestrial, aerial, and maritime communications into a robust network which would be more reliable, fast, and can support a massive number of devices…

Signal Processing · Electrical Eng. & Systems 2020-10-19 Muhammad Waseem Akhtar , Syed Ali Hassan , Rizwan Ghaffar , Haejoon Jung , Sahil Garg , M. Shamim Hossain

Federated learning (FL) enables mobile devices to collaboratively learn a shared prediction model while keeping data locally. However, there are two major research challenges to practically deploy FL over mobile devices: (i) frequent…

Machine Learning · Computer Science 2022-08-16 Liang Li , Chenpei Huang , Dian Shi , Hao Wang , Xiangwei Zhou , Minglei Shu , Miao Pan

Communication and computation are traditionally treated as separate entities, allowing for individual optimizations. However, many applications focus on local information's functionality rather than the information itself. For such cases,…

Information Theory · Computer Science 2026-05-19 Saeed Razavikia , José Mairton Barros Da Silva Júnior , Carlo Fischione

Over-the-air computation (AirComp) is a key enabler for distributed optimization, since it leverages analog waveform superposition to perform aggregation and thereby mitigates the communication bottleneck caused by iterative information…

Information Theory · Computer Science 2026-01-15 Mingyu Hu , Nan Liu , Wei Kang

This work is concerned with integrated sensing, communication, and computation (ISCC) in uplink orthogonal frequency division multiplexing (OFDM) systems, wherein multiple devices perform target sensing and over-the-air computation…

Signal Processing · Electrical Eng. & Systems 2025-07-08 Biao Dong , Bin Cao , Qinyu Zhang

Movable antenna (MA) has emerged as a promising technology for improving the performance of wireless communication systems, which enables local movement of the antennas to create more favorable channel conditions. In this letter, we advance…

Signal Processing · Electrical Eng. & Systems 2025-01-16 Nianzu Li , Peiran Wu , Boyu Ning , Lipeng Zhu , Weidong Mei

The stringent requirements for low-latency and privacy of the emerging high-stake applications with intelligent devices such as drones and smart vehicles make the cloud computing inapplicable in these scenarios. Instead, edge machine…

Machine Learning · Computer Science 2019-02-19 Kai Yang , Tao Jiang , Yuanming Shi , Zhi Ding