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Publications

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Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey

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Digital Twin-empowered Network Slicing in B5G Networks: Experience-driven approach

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Hyperparameter-Free Transmit-Nonlinearity Mitigation Using a Kernel-Width Sampling Technique

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Hyperparameter Free MEEF-Based Learning for Next Generation Communication Systems

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Analytical Guarantees for Hyperparameter Free RFF Based Deep Learning in the Low-Data Regime

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Performance Analysis of Information Theoretic Learning-Based Cooperative Localization

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Error Analysis of Localization Based on Minimum-Error Entropy With Fiducial Points

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Privacy-aware decentralized multi-slice traffic forecasting

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Towards Energy Efficiency in RAN Network Slicing

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Multi-Slice Privacy-Aware Traffic Forecasting at RAN Level: A Scalable Federated-Learning Approach

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Machine Learning in Network Slicing—A Survey

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Mobile Traffic Forecasting for Network Slices: A Federated-Learning Approach

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On The Design of Resilient and Reliable Wireless Backhaul Networks

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Assessing the Range of Radio Maritime Links in Different Waterbodies: Effect of Antenna height and Band Diversities

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