88 citations · 301 across the 21 of their papers we have counts for
6 papers · 1 filter
Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks
Xiumei Deng, Jun Li, Chuan Ma +4
Federated Learning (FL) empowers Industrial Internet of Things (IIoT) with distributed intelligence of industrial automation thanks to its capability of distributed machine learnin…
Providing Location Information at Edge Networks: A Federated Learning-Based Approach
Xin Cheng, Tingting Liu, Feng Shu +3
Recently, the development of mobile edge computing has enabled exhilarating edge artificial intelligence (AI) with fast response and low communication cost. The location informatio…
Federated Learning-Based Localization with Heterogeneous Fingerprint Database
Xin Cheng, Chuan Ma, Jun Li +3
Fingerprint-based localization plays an important role in indoor location-based services, where the position information is usually collected in distributed clients and gathered in…
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
Chuan Ma, Jun Li, Kang Wei +5
Motivated by the advancing computational capacity of distributed end-user equipments (UEs), as well as the increasing concerns about sharing private data, there has been considerab…
Vertical Federated Learning: Challenges, Methodologies and Experiments
Kang Wei, Jun Li, Chuan Ma +5
Recently, federated learning (FL) has emerged as a promising distributed machine learning (ML) technology, owing to the advancing computational and sensing capacities of end-user d…
Path Planning for the Dynamic UAV-Aided Wireless Systems using Monte Carlo Tree Search
Yuwen Qian, Kexin Sheng, Chuan Ma +3
For UAV-aided wireless systems, online path planning attracts much attention recently. To better adapt to the real-time dynamic environment, we, for the first time, propose a Monte…