Search Results for author: Mugen Peng

Found 6 papers, 1 papers with code

Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification

1 code implementation3 Feb 2024 Wenjia Xu, Jiuniu Wang, Zhiwei Wei, Mugen Peng, Yirong Wu

Besides, pioneer ZSL models use convolutional neural networks pre-trained on ImageNet, which focus on the main objects appearing in each image, neglecting the background context that also matters in RS scene classification.

Attribute Image Classification +4

Joint Network Function Placement and Routing Optimization in Dynamic Software-defined Satellite-Terrestrial Integrated Networks

no code implementations21 Oct 2023 Shuo Yuan, Yaohua Sun, Mugen Peng

However, low latency service provisioning is still challenging due to the fast variation of network topology and limited onboard resource at low earth orbit satellites.

Multi-Carrier NOMA-Empowered Wireless Federated Learning with Optimal Power and Bandwidth Allocation

no code implementations13 Feb 2023 Weicai Li, Tiejun Lv, Yashuai Cao, Wei Ni, Mugen Peng

Wireless federated learning (WFL) undergoes a communication bottleneck in uplink, limiting the number of users that can upload their local models in each global aggregation round.

Federated Learning

Secure and Efficient Federated Learning Through Layering and Sharding Blockchain

no code implementations27 Apr 2021 Shuo Yuan, Bin Cao, Yao Sun, Zhiguo Wan, Mugen Peng

Introducing blockchain into Federated Learning (FL) to build a trusted edge computing environment for transmission and learning has attracted widespread attention as a new decentralized learning pattern.

Edge-computing Federated Learning

Optimal Resource Allocation for Delay Minimization in NOMA-MEC Networks

no code implementations11 Sep 2020 Fang Fang, Yanqing Xu, Zhiguo Ding, Chao Shen, Mugen Peng, George K. Karagiannidis

We adopt the partial offloading policy, in which each user can partition its computation task into offloading and locally computing parts.

Edge-computing

Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues

no code implementations24 Sep 2018 Yaohua Sun, Mugen Peng, Yangcheng Zhou, Yuzhe Huang, Shiwen Mao

As a key technique for enabling artificial intelligence, machine learning (ML) is capable of solving complex problems without explicit programming.

BIG-bench Machine Learning Clustering +2

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