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ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 697-706
作者:  Kui-Kui Wang;  Gong-Ping Yang;  Lu Yang;  Yu-Wen Huang;  Yi-Long Yin
Adobe PDF(1151Kb)  |  收藏  |  浏览/下载：19/8  |  提交时间：2024/04/23
Biometrics, matrix factorization, electrocardiogram (ECG), semantic information, enhanced correlation  
YuNet: A Tiny Millisecond-level Face Detector 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 656-665
作者:  Wei Wu;  Hanyang Peng;  Shiqi Yu
Adobe PDF(4720Kb)  |  收藏  |  浏览/下载：16/2  |  提交时间：2024/04/23
Face detection, object detection, computer version, lightweight, inference efficiency, anchor-free mechanism  
Federated Learning on Multimodal Data: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 539-553
作者:  Yi-Ming Lin;   Yuan Gao;  Mao-Guo Gong;  Si-Jia Zhang;  Yuan-Qiao Zhang;  Zhi-Yuan Li
Adobe PDF(1253Kb)  |  收藏  |  浏览/下载：11/5  |  提交时间：2024/04/23
Federated learning, multimodal learning, heterogeneous data, edge computing, collaborative learning  
A Survey on Collaborative DNN Inference for Edge Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 370-395
作者:  Wei-Qing Ren;  Yu-Ben Qu;  Chao Dong;  Yu-Qian Jing;  Hao Sun;  Qi-Hui Wu;  Song Guo
Adobe PDF(2969Kb)  |  收藏  |  浏览/下载：14/4  |  提交时间：2024/04/23
Artificial intelligence (AI), edge intelligence (EI), distributed computing, deep neural network (DNN), collaborative inference  
Federated Learning with Privacy-preserving and Model IP-right-protection 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 19-37
作者:  Qiang Yang;  Anbu Huang;  Lixin Fan;  Chee Seng Chan;  Jian Han Lim;  Kam Woh Ng;  Ding Sheng Ong;  Bowen Li
Adobe PDF(2634Kb)  |  收藏  |  浏览/下载：15/4  |  提交时间：2024/04/23
Federated learning  privacy-preserving machine learning  security  decentralized learning  intellectual property protection  
A Weighted Average Consensus Approach for Decentralized Federated Learning 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 319-330
作者:  Alessandro Giuseppi;  Sabato Manfredi;  Antonio Pietrabissa
Adobe PDF(1462Kb)  |  收藏  |  浏览/下载：16/6  |  提交时间：2024/04/23
Federated learning (FedL)  deep learning  federated averaging (FedAvg)  machine learning (ML)  artificial intelligence  discrete-time consensus  distributed systems  
Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 2, 页码: 127-137
作者:  Emanuele De Santis;  Alessandro Giuseppi;  Antonio Pietrabissa;  Michael Capponi;  Francesco Delli Priscoli
Adobe PDF(1513Kb)  |  收藏  |  浏览/下载：8/2  |  提交时间：2024/04/23
Network selection  HetNet  deep reinforcement learning  deep-Q-network (DQN)  5G communications