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Driving Towards Efficiency: Adaptive Resource-aware Clustered Federated Learning in Vehicular Networks

In-Network Management of Parallel Data Streams over Programmable Data Planes

Differential Privacy for Protecting Private Patterns in Data Streams

Memristor-based Network Switching Architecture for Energy Efficient Cognitive Computational Models

TCAmMCogniGron:: Energy Efficient Memristor-Based TCAM for Match-Action Processing

The Future is Analog: Energy-Efficient Cognitive Network Functions over Memristor-Based Analog Computations

Towards adaptive quality-aware Complex Event Processing in the Internet of Things

Towards Pattern-Level Privacy Protection in Distributed Complex Event Processing

Enhancing Flexibility for Dynamic Time-Sensitive Network Configurations

FA2: Fast, Accurate Autoscaling for Serving Deep Learning Inference with SLA Guarantees

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