English
Related papers

Related papers: Resource Allocation of Federated Learning Assisted…

200 papers

The Metaverse has received much attention recently. Metaverse applications via mobile augmented reality (MAR) require rapid and accurate object detection to mix digital data with the real world. Federated learning (FL) is an intriguing…

Machine Learning · Computer Science 2023-12-08 Xinyu Zhou , Chang Liu , Jun Zhao

With the development of blockchain and communication techniques, the Metaverse is considered as a promising next-generation Internet paradigm, which enables the connection between reality and the virtual world. The key to rendering a…

Signal Processing · Electrical Eng. & Systems 2022-09-29 Peiyuan Si , Jun Zhao , Huimei Han , Kwok-Yan Lam , Yang Liu

The Metaverse is deemed the next evolution of the Internet and has received much attention recently. Metaverse applications via mobile augmented reality (MAR) require rapid and accurate object detection to mix digital data with the real…

Machine Learning · Computer Science 2023-11-08 Xinyu Zhou , Jun Zhao

Metaverse is considered to be the evolution of the next-generation networks, providing users with experience sharing at the intersection between physical and digital. Augmented reality (AR) is one of the primary supporting technologies in…

Social and Information Networks · Computer Science 2022-12-05 Jie Feng , Jun Zhao

Mobile augmented reality (MAR) applications extended in the metaverse could provide mixed and immersive experiences by amalgamating the virtual and physical world. However, the joint consideration between MAR and metaverse seeks the…

Networking and Internet Architecture · Computer Science 2023-01-18 Zhaohui Huang , Vasilis Friderikos

Dubbed as the next-generation Internet, the metaverse is a virtual world that allows users to interact with each other or objects in real-time using their avatars. The metaverse is envisioned to support novel ecosystems of service provision…

Computer Science and Game Theory · Computer Science 2021-10-28 Wei Chong Ng , Wei Yang Bryan Lim , Jer Shyuan Ng , Zehui Xiong , Dusit Niyato , Chunyan Miao

Metaverse applications that incorporate Mobile Augmented Reality (MAR) provide mixed and immersive experiences by amalgamating the virtual with the physical world. Notably, due to their multi-modality such applications are demanding in…

Networking and Internet Architecture · Computer Science 2022-09-20 Zhaohui Huang , Vasilis Friderikos

Augmented reality (AR)-enabled Metaverse is a promising technique to provide immersive service experience for mobile users. However, the limited network resources and unpredictable wireless propagation environments are key design…

Information Theory · Computer Science 2026-02-20 Sun Mao , Lei Liu , Kun Yang , F. Richard Yu , Duist Niyato , Chau Yuen

Improving the interactivity and interconnectivity between people is one of the highlights of the Metaverse. The Metaverse relies on a core approach, digital twinning, which is a means to replicate physical world objects, people, actions and…

Networking and Internet Architecture · Computer Science 2022-09-28 Terence Jie Chua , Wenhan Yu , Jun Zhao

As the essential technical support for Metaverse, Mobile Augmented Reality (MAR) has attracted the attention of many researchers. MAR applications rely on real-time processing of visual and audio data, and thus those heavy workloads can…

Networking and Internet Architecture · Computer Science 2023-11-30 Tianming Lan , Jun Zhao

This work proposes a novel framework to dynamically and effectively manage and allocate different types of resources for Metaverse applications, which are forecasted to demand massive resources of various types that have never been seen…

Networking and Internet Architecture · Computer Science 2023-02-28 Nam H. Chu , Diep N. Nguyen , Dinh Thai Hoang , Khoa T. Phan , Eryk Dutkiewicz , Dusit Niyato , Tao Shu

Federated Edge Learning (FEL), an emerging distributed Machine Learning (ML) paradigm, enables model training in a distributed environment while ensuring user privacy by using physical separation for each user data. However, with the…

Machine Learning · Computer Science 2024-10-11 Jingbo Zhang , Qiong Wu , Pingyi Fan , Qiang Fan

There is an increasing interest in a fast-growing machine learning technique called Federated Learning, in which the model training is distributed over mobile user equipments (UEs), exploiting UEs' local computation and training data.…

Machine Learning · Computer Science 2020-12-23 Canh T. Dinh , Nguyen H. Tran , Minh N. H. Nguyen , Choong Seon Hong , Wei Bao , Albert Y. Zomaya , Vincent Gramoli

This work poses a distributed multi-resource allocation scheme for minimizing the weighted sum of latency and energy consumption in the on-device distributed federated learning (FL) system. Each mobile device in the system engages the model…

Systems and Control · Electrical Eng. & Systems 2022-11-02 Yulan Gao , Ziqiang Ye , Han Yu , Zehui Xiong , Yue Xiao , Dusit Niyato

Federated Learning (FL) is an intriguing distributed machine learning approach due to its privacy-preserving characteristics. To balance the trade-off between energy and execution latency, and thus accommodate different demands and…

Machine Learning · Computer Science 2025-09-12 Xinyu Zhou , Jun Zhao , Huimei Han , Claude Guet

Federated machine learning is a versatile and flexible tool to utilize distributed data from different sources, especially when communication technology develops rapidly and an unprecedented amount of data could be collected on mobile…

Machine Learning · Computer Science 2024-03-12 Tianyi Zhang , Shirui Zhang , Ziwei Chen , Dianbo Liu

Judicious resource allocation can effectively enhance federated learning (FL) training performance in wireless networks by addressing both system and statistical heterogeneity. However, existing strategies typically rely on block fading…

Machine Learning · Computer Science 2025-05-07 Jiacheng Wang , Le Liang , Hao Ye , Chongtao Guo , Shi Jin

Deploying teams of unmanned aerial vehicles (UAVs) to harvest data from distributed Internet of Things (IoT) devices requires efficient trajectory planning and coordination algorithms. Multi-agent reinforcement learning (MARL) has emerged…

Machine Learning · Computer Science 2023-10-10 Jichao Chen , Omid Esrafilian , Harald Bayerlein , David Gesbert , Marco Caccamo

The concept of the Metaverse has garnered growing interest from both academic and industry circles. The decentralization of both the integrity and security of digital items has spurred the popularity of play-to-earn (P2E) games, where…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-12 Chang Liu , Terence Jie Chua , Jun Zhao

Mobile augmented reality (MAR) blends a real scenario with overlaid virtual content, which has been envisioned as one of the ubiquitous interfaces to the Metaverse. Due to the limited computing power and battery life of MAR devices, it is…

Signal Processing · Electrical Eng. & Systems 2023-06-01 Ruxiao Chen , Shuaishuai Guo
‹ Prev 1 2 3 10 Next ›