Showing 1–18 of 18 results
/ Date/ Name
Jan 11, 2024The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A SurveyJun 20, 2021Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge LearningApr 26, 2023Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask LearningJan 10, 2020Exploiting Unlabeled Data in Smart Cities using Federated LearningMar 30, 2021Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge LearningAug 16, 2021Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge NetworksJul 4, 2024Charging Ahead: A Hierarchical Adversarial Framework for Counteracting Advanced Cyber Threats in EV Charging StationsJan 18, 2024Tailoring Semantic Communication at Network Edge: A Novel Approach Using Dynamic Knowledge DistillationJan 19, 2024Empowering HWNs with Efficient Data Labeling: A Clustered Federated Semi-Supervised Learning ApproachJul 3, 2024FedPot: A Quality-Aware Collaborative and Incentivized Honeypot-Based Detector for Smart Grid NetworksJul 12, 2024Optimized Federated Multitask Learning in Mobile Edge Networks: A Hybrid Client Selection and Model Aggregation ApproachJan 23, 2025Leveraging Digital Twin and Machine Learning Techniques for Anomaly Detection in Power Electronics Dominated GridJan 29, 2024Energy-Aware Service Offloading for Semantic Communications in Wireless NetworksJan 7, 2020Federated Learning for Localization: A Privacy-Preserving Crowdsourcing MethodJul 13, 2021Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A SurveyDec 13, 2024NetOrchLLM: Mastering Wireless Network Orchestration with Large Language ModelsDec 22, 2024Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised LearningDec 31, 2024Distributed Traffic Control in Complex Dynamic Roadblocks: A Multi-Agent Deep RL Approach