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浏览/检索结果: 共65条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Personalized Federated Learning With Adaptive Batchnorm for Healthcare 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 6, 页码: 915-925 作者:  Lu, Wang;  Wang, Jindong;  Chen, Yiqiang;  Qin, Xin;  Xu, Renjun   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/12/06 Medical services  Collaborative work  Data models  Adaptation models  Computational modeling  Machine learning  Data privacy  Distributed computing  federated learning  personalization  batch normalization  healthcare   FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence 期刊论文  OAI收割 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 10, 页码: 9368-9382 作者:  Wu, Zhiyuan;  Sun, Sheng;  Wang, Yuwei;  Liu, Min;  Xu, Ke   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/12/06 Computer architecture  Training  Servers  Computational modeling  Data models  Adaptation models  Performance evaluation  Distributed architecture  edge computing  personalized federated learning  knowledge distillation  communication efficiency   FastTuning: Enabling Fast and Efficient Hyper-Parameter Tuning With Partitioning and Parallelism of Search Space 期刊论文  OAI收割 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 7, 页码: 1174-1188 作者:  Li, Xiaqing;  Guo, Qi;  Zhang, Guangyan;  Ye, Siwei;  He, Guanhua   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/12/06 Deep learning  distributed hyper-parameter tuning (HPT) system  parallel computing   FedICT: Federated Multi-Task Distillation for Multi-Access Edge Computing 期刊论文  OAI收割 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 6, 页码: 952-966 作者:  Wu, Zhiyuan;  Sun, Sheng;  Wang, Yuwei;  Liu, Min;  Pan, Quyang   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/12/06 Computational modeling  Data models  Training  Servers  Multitasking  Adaptation models  Optimization  Distributed optimization  federated learning  knowledge distillation  multi-access edge computing  multi-task learning   Dynamic Task Offloading in Distributed VEC Networks: An Exploration and Exploitation Assisted Contract-Theoretic Approach 期刊论文  OAI收割 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 卷号: 73, 期号: 4, 页码: 5717-5729 作者:  Shen, Rujing;  Gao, Mingjin;  Li, Wei;  Li, Yonghui   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06 Distributed vehicular edge computing  contract based task offloading  energy harvesting  exploration and exploitation   A Survey on Collaborative DNN Inference for Edge Intelligence 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/04/23 Artificial intelligence (AI), edge intelligence (EI), distributed computing, deep neural network (DNN), collaborative inference   NetSHa: In-Network Acceleration of LSH-Based Distributed Search 期刊论文  OAI收割 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 9, 页码: 2213-2229 作者:  Zhang, Penghao;  Pan, Heng;  Li, Zhenyu;  Cui, Penglai;  Jia, Ru   |  收藏  |  浏览/下载：48/0  |  提交时间：2022/12/07 Servers  Indexes  Costs  Task analysis  Hash functions  Concurrent computing  Aggregates  Local sensitive hashing  distributed search  in-network computation   Fast and accurate variable batch size convolution neural network training on large scale distributed systems 期刊论文  OAI收割 CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 页码: 26 作者:  Hu, Zhongzhe;  Xiao, Junmin;  Sun, Ninghui;  Tan, Guangming   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/12/07 deep learning  distributed computing  ImageNet-1K  large-batch training  synchronous SGD   Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 2, 页码: 420-431 作者:  Shi, Xiaoyu;  He, Qiang;  Luo, Xin;  Bai, Yanan;  Shang, Mingsheng   |  收藏  |  浏览/下载：30/0  |  提交时间：2022/08/22 Recommender systems  Training  Optimization  Big Data  Cloud computing  Computational modeling  Sparse matrices  Recommender system  latent factor analysis  high-dimensional and sparse matrices  alternative stochastic gradient descent  distributed computing   A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 160-172 作者:  Lun Hu;  Shicheng Yang;  Xin Luo;  Huaqiang Yuan;  Khaled Sedraoui   |  收藏  |  浏览/下载：89/0  |  提交时间：2021/11/03 Distributed computing  large-scale prediction machine learning  MapReduce  protein-protein interaction (PPI)