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4. A Novel Deep Federated Learning-Based and Profit-Driven Service Caching Method

5. Efficiently Detecting Anomalies in IoT: A Novel Multi-Task Federated Learning Method

6. A Novel Semi-supervised IoT Time Series Anomaly Detection Model Using Graph Structure Learning

7. A Multi-Agent Deep Reinforcement Learning-Based Approach to Mobility-Aware Caching

8. Edge Server Deployment Approach Based on Uniformity and Centrality

9. DQN-Based Applications Offloading with Multiple Interdependent Tasks in Mobile Edge Computing

10. How International Short-Term Mobility Experience Affects Full-Degree Abroad Experience: Insights from Chinese Students

13. A Multi-Armed Bandits Learning-Based Approach to Service Caching in Edge Computing Environment

14. Edge Computing-Based Multitasking Strategies in Smart Grids

16. A Novel High-Order Cluster-GCN-Based Approach for Service Recommendation

17. A Novel Fault-Tolerant Approach to Web Service Composition upon the Edge Computing Environment

20. A Novel Approach for User Demand-aware Data Center Construction and Service Consolidation

21. FRSM: A Novel Fault-Tolerant Approach for Redundant-Path-Enabled Service Migration in Mobile Edge Computing

22. A Novel Outlier-Tolerable and Predictive Approach to Web Service Composition

28. A Novel Approach to Taxi-GPS-Trace-Aware Bus Network Planning

29. Reactive Workflow Scheduling in Fluctuant Infrastructure-as-a-Service Clouds Using Deep Reinforcement Learning

30. Location-Aware Edge Service Migration for Mobile User Reallocation in Crowded Scenes

31. A Novel Probabilistic-Performance-Aware and Evolutionary Game-Theoretic Approach to Task Offloading in the Hybrid Cloud-Edge Environment

39. A Decentralized Reactive Approach to Online Task Offloading in Mobile Edge Computing Environments

40. A Stochastic-Performance-Distribution-Based Approach to Cloud Workflow Scheduling with Fluctuating Performance

41. Scheduling Multi-workflows over Edge Computing Resources with Time-Varying Performance, A Novel Probability-Mass Function and DQN-Based Approach

42. A Novel Approach to Cost-Efficient Scheduling of Multi-workflows in the Edge Computing Environment with the Proximity Constraint

45. Optimal Device Management Service Selection in Internet-of-Things

46. Collaborative Workflow Scheduling over MANET, a User Position Prediction-Based Approach

47. Joint Operator Scaling and Placement for Distributed Stream Processing Applications in Edge Computing

48. A Novel Coalitional Game-Theoretic Approach for Energy-Aware Dynamic VM Consolidation in Heterogeneous Cloud Datacenters

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