A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments

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Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions

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Decentralized Scheduling for Concurrent Tasks in Mobile Edge Computing via Deep Reinforcement Learning

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An Efficient Algorithm for Microservice Placement in Cloud-Edge Collaborative Computing Environment

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Clouds on the Road: A Software-Defined Fog Computing Framework for Intelligent Resource Management in Vehicular Ad-Hoc Networks

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UrbanEnQoSPlace: A Deep Reinforcement Learning Model for Service Placement of Real-Time Smart City IoT Applications

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An Efficient Processing Scheme for Concurrent Applications in the IoT Edge

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Computation Off-Loading in Resource-Constrained Edge Computing Systems Based on Deep Reinforcement Learning

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: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog Computing Environments

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Energy-Efficient Multi-Agent Deep Reinforcement Learning Task Offloading and Resource Allocation for UAV Edge Computing

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DRL-Based Distributed Task Offloading Framework in Edge-Cloud Environment

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TPTO: A Transformer-PPO based Task Offloading Solution for Edge Computing Environments

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Task Offloading and Resource Allocation for Fog Computing in NG Wireless Networks: A Federated Deep Reinforcement Learning Approach

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Distributed Machine Learning and Native AI Enablers for End-to-End Resources Management in 6G

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EdgeAIBus: AI-Driven Joint Container Management and Model Selection Framework for Heterogeneous Edge Computing

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HierRL: Hierarchical Reinforcement Learning for Task Scheduling in Distributed Systems

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Dependency-Aware Dynamic Priority Scheduling for Online Multi-DAG Task Offloading in Mobile Edge Computing

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Distributed Reinforcement Learning for IoT Security in Heterogeneous and Distributed Networks

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Computing and Network Load Balancing for Decentralized Deep Federated Learning in Industrial Cyber-Physical Systems: A Multi-Task Approach

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Combining Federated Learning and Edge Computing toward Ubiquitous Intelligence: Challenges, Recent Advances, and Future DirectionsPreprint

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EFTR-HGNet: An Efficient Rescheduling Method of Edge Service Tasks in Fault Scene

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Agentic AI-Driven Real-Time Inventory Management Using Distributed Cloud Architectures and Machine Learning

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Multi-objective Optimization for Dynamic Service Placement Strategy for Real-Time Applications in Fog Infrastructure

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Heterogeneous Resources in Infrastructures of the Edge Network Paradigm: A Comprehensive Review

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A multi-edge jointly offloading method considering group cooperation topology features in edge computing networks

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A Method of Reliability Assessment Based on Fine Tuning Deep Learning Model for Open Source Software in Edge Computing

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ST-RDP: A deep spatio-temporal network model for VNF resource demand prediction of Service Function Chains

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Data Orchestration Service Placement and Resource Allocation Scheme for Cloud-Edge System

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QFOR: A Fidelity-aware Orchestrator for Quantum Computing Environments using Deep Reinforcement Learning

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Intelligent Management at the Edge

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Blockchain Assisted Trust Management for Data-Parallel Distributed Learning

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Combining Federated Learning and Edge Computing toward Ubiquitous Intelligence: Challenges, Recent Advances, and Future DirectionsPreprint

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Cost-Optimized Periodic DAG-Structured Task Offloading in Multi-User MEC Systems Using Reinforcement Learning

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