Abstract is missing.
- Multi-agent Reinforcement Learning Based Collaborative Multi-task Scheduling for Vehicular Edge ComputingPeisong Li, Ziren Xiao, Xinheng Wang 0001, Kaizhu Huang, Yi Huang 0001, Andrei Tchernykh. 3-22 [doi]
- A Novel Topology Metric for Indoor Point Cloud SLAM Based on Plane Detection OptimizationZhenchao Ouyang, Jiahe Cui, Yunxiang He, Dongyu Li, Qinglei Hu, Changjie Zhang. 23-40 [doi]
- On the Performance of Federated Learning NetworkGodwin Idoje, Tasos Dagiuklas, Muddesar Iqbal. 41-56 [doi]
- FedECCR: Federated Learning Method with Encoding Comparison and Classification RectificationYan Zeng, Hui Zheng, Xin Wang, Beibei Zhang, Mingyao Zhou, Jilin Zhang, Yongjian Ren. 59-78 [doi]
- CSA_FedVeh: Cluster-Based Semi-asynchronous Federated Learning Framework for Internet of VehiclesDun Cao, Jiasi Xiong, Nanfang Lei, Robert Simon Sherratt, Jin Wang. 79-99 [doi]
- Efficiently Detecting Anomalies in IoT: A Novel Multi-Task Federated Learning MethodJunfeng Hao, Juan Chen, Peng Chen, Yang Wang, Xianhua Niu, Lei Xu, Yunni Xia. 100-117 [doi]
- A Novel Deep Federated Learning-Based and Profit-Driven Service Caching MethodZhaobin Ouyang, Yunni Xia, Qinglan Peng, Yin Li, Peng Chen, Xu Wang. 118-133 [doi]
- A Multi-behavior Recommendation Algorithm Based on Personalized Federated LearningZhongqin Bi, Yutang Duan, Weina Zhang, Meijing Shan. 134-153 [doi]
- FederatedMesh: Collaborative Federated Learning for Medical Data Sharing in Mesh NetworksLamir Shkurti, Mennan Selimi, Adrian Besimi. 154-169 [doi]
- Enhance Broadcasting Throughput by Associating Network Coding with UAVs Relays Deployment in Emergency CommunicationsChaonong Xu, Yujie Jiang. 173-190 [doi]
- Dynamic Target User Selection Model for Market Promotion with Multiple StakeholdersLinxin Guo, Shiqi Wang 0018, Min Gao 0001, Chongming Gao. 191-207 [doi]
- Collaborative Decision-Making Processes Analysis of Service Ecosystem: A Case Study of Academic Ecosystem InvolutionXiangpei Yan, Xiao Xue 0001, Chao Peng, Donghua Liu, Zhiyong Feng, Xiao Wang 0002. 208-228 [doi]
- Operationalizing the Use of Sensor Data in Mobile Crowdsensing: A Systematic Review and Practical GuidelinesRobin Kraft, Maximilian Blasi, Marc Schickler, Manfred Reichert, Rüdiger Pryss. 229-248 [doi]
- Enriching Process Models with Relevant Process Details for Flexible Human-Robot TeamingMyriel Fichtner, Sascha Sucker, Dominik Riedelbauch, Stefan Jablonski, Dominik Henrich. 249-269 [doi]
- Joint Optimization of PAoI and Queue Backlog with Energy Constraints in LoRa Gateway SystemsLei Shi, Rui Ji, Zhen Wei, Shilong Feng, Zhehao Li. 273-290 [doi]
- Enhancing Session-Based Recommendation with Multi-granularity User Interest-Aware Graph Neural NetworksCairong Yan, YiWei Zhang, Xiangyang Feng, Yanglan Gan. 291-307 [doi]
- Delay-Constrained Multicast Throughput Maximization in MEC Networks for High-Speed RailwaysJunyi Xu, Zhenchun Wei, Xiaohui Yuan 0001, Zengwei Lyu, Lin Feng 0004, Jianghong Han. 308-328 [doi]
- An Evolving Transformer Network Based on Hybrid Dilated Convolution for Traffic Flow PredictionQi Yu, Weilong Ding, Maoxiang Sun, Jihai Huang. 329-343 [doi]
- DualDNSMiner: A Dual-Stack Resolver Discovery Method Based on Alias ResolutionDingkang Han, Yujia Zhu, Liang Jiao, Dikai Mo, Yong Sun, Yuedong Zhang, Qingyun Liu. 347-364 [doi]
- DT-MUSA: Dual Transfer Driven Multi-source Domain Adaptation for WEEE Reverse Logistics Return PredictionRuiqi Liu, Min Gao, Yujiang Wu, Jie Zeng, Jia Zhang, Jinyong Gao. 365-384 [doi]
- A Synchronous Parallel Method with Parameters Communication Prediction for Distributed Machine LearningYanguo Zeng, Meiting Xue, Peiran Xu, Yukun Shi, Kaisheng Zeng, Jilin Zhang, Lupeng Yue. 385-403 [doi]