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Publication search results
found 22 matches
- 2024
- Honghao Gao, Xinheng Wang, Nikolaos S. Voros:
Collaborative Computing: Networking, Applications and Worksharing - 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part III. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 563, Springer 2024, ISBN 978-3-031-54530-6 [contents] - 2023
- Zhongqin Bi, Yutang Duan, Weina Zhang, Meijing Shan:
A Multi-behavior Recommendation Algorithm Based on Personalized Federated Learning. CollaborateCom (3) 2023: 134-153 - Dun Cao, Jiasi Xiong, Nanfang Lei, Robert Simon Sherratt, Jin Wang:
CSA_FedVeh: Cluster-Based Semi-asynchronous Federated Learning Framework for Internet of Vehicles. CollaborateCom (3) 2023: 79-99 - Myriel Fichtner, Sascha Sucker, Dominik Riedelbauch, Stefan Jablonski, Dominik Henrich:
Enriching Process Models with Relevant Process Details for Flexible Human-Robot Teaming. CollaborateCom (3) 2023: 249-269 - Linxin Guo, Shiqi Wang, Min Gao, Chongming Gao:
Dynamic Target User Selection Model for Market Promotion with Multiple Stakeholders. CollaborateCom (3) 2023: 191-207 - Dingkang Han, Yujia Zhu, Liang Jiao, Dikai Mo, Yong Sun, Yuedong Zhang, Qingyun Liu:
DualDNSMiner: A Dual-Stack Resolver Discovery Method Based on Alias Resolution. CollaborateCom (3) 2023: 347-364 - Junfeng Hao, Juan Chen, Peng Chen, Yang Wang, Xianhua Niu, Lei Xu, Yunni Xia:
Efficiently Detecting Anomalies in IoT: A Novel Multi-Task Federated Learning Method. CollaborateCom (3) 2023: 100-117 - Godwin Idoje, Tasos Dagiuklas, Muddesar Iqbal:
On the Performance of Federated Learning Network. CollaborateCom (3) 2023: 41-56 - Robin Kraft, Maximilian Blasi, Marc Schickler, Manfred Reichert, Rüdiger Pryss:
Operationalizing the Use of Sensor Data in Mobile Crowdsensing: A Systematic Review and Practical Guidelines. CollaborateCom (3) 2023: 229-248 - Peisong Li, Ziren Xiao, Xinheng Wang, Kaizhu Huang, Yi Huang, Andrei Tchernykh:
Multi-agent Reinforcement Learning Based Collaborative Multi-task Scheduling for Vehicular Edge Computing. CollaborateCom (3) 2023: 3-22 - Ruiqi Liu, Min Gao, Yujiang Wu, Jie Zeng, Jia Zhang, Jinyong Gao:
DT-MUSA: Dual Transfer Driven Multi-source Domain Adaptation for WEEE Reverse Logistics Return Prediction. CollaborateCom (3) 2023: 365-384 - Zhenchao Ouyang, Jiahe Cui, Yunxiang He, Dongyu Li, Qinglei Hu, Changjie Zhang:
A Novel Topology Metric for Indoor Point Cloud SLAM Based on Plane Detection Optimization. CollaborateCom (3) 2023: 23-40 - Zhaobin Ouyang, Yunni Xia, Qinglan Peng, Yin Li, Peng Chen, Xu Wang:
A Novel Deep Federated Learning-Based and Profit-Driven Service Caching Method. CollaborateCom (3) 2023: 118-133 - Lei Shi, Rui Ji, Zhen Wei, Shilong Feng, Zhehao Li:
Joint Optimization of PAoI and Queue Backlog with Energy Constraints in LoRa Gateway Systems. CollaborateCom (3) 2023: 273-290 - Lamir Shkurti, Mennan Selimi, Adrian Besimi:
FederatedMesh: Collaborative Federated Learning for Medical Data Sharing in Mesh Networks. CollaborateCom (3) 2023: 154-169 - Chaonong Xu, Yujie Jiang:
Enhance Broadcasting Throughput by Associating Network Coding with UAVs Relays Deployment in Emergency Communications. CollaborateCom (3) 2023: 173-190 - Junyi Xu, Zhenchun Wei, Xiaohui Yuan, Zengwei Lyu, Lin Feng, Jianghong Han:
Delay-Constrained Multicast Throughput Maximization in MEC Networks for High-Speed Railways. CollaborateCom (3) 2023: 308-328 - Xiangpei Yan, Xiao Xue, Chao Peng, Donghua Liu, Zhiyong Feng, Xiao Wang:
Collaborative Decision-Making Processes Analysis of Service Ecosystem: A Case Study of Academic Ecosystem Involution. CollaborateCom (3) 2023: 208-228 - Cairong Yan, Yiwei Zhang, Xiangyang Feng, Yanglan Gan:
Enhancing Session-Based Recommendation with Multi-granularity User Interest-Aware Graph Neural Networks. CollaborateCom (3) 2023: 291-307 - Qi Yu, Weilong Ding, Maoxiang Sun, Jihai Huang:
An Evolving Transformer Network Based on Hybrid Dilated Convolution for Traffic Flow Prediction. CollaborateCom (3) 2023: 329-343 - Yanguo Zeng, Meiting Xue, Peiran Xu, Yukun Shi, Kaisheng Zeng, Jilin Zhang, Lupeng Yue:
A Synchronous Parallel Method with Parameters Communication Prediction for Distributed Machine Learning. CollaborateCom (3) 2023: 385-403 - Yan Zeng, Hui Zheng, Xin Wang, Beibei Zhang, Mingyao Zhou, Jilin Zhang, Yongjian Ren:
FedECCR: Federated Learning Method with Encoding Comparison and Classification Rectification. CollaborateCom (3) 2023: 59-78
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