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Found 4 papers, 0 papers with code
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification
Federated Learning (FL) has garnered significant interest recently due to its potential as an effective solution for tackling many challenges in diverse application scenarios, for example, data privacy in network edge traffic classification.
Zero-Touch Network on Industrial IoT: An End-to-End Machine Learning Approach
Industry 4. 0-enabled smart factory is expected to realize the next revolution for manufacturers.
Privacy-Preserving Serverless Edge Learning with Decentralized Small Data
In the last decade, data-driven algorithms outperformed traditional optimization-based algorithms in many research areas, such as computer vision, natural language processing, etc.
Vehicular Network Slicing for Reliable Access and Deadline-Constrained Data Offloading: A Multi-Agent On-Device Learning Approach
To that end, considering practical location-aware node associations, a joint radio and power resource allocation non-cooperative stochastic game is formulated.
Networking and Internet Architecture Distributed, Parallel, and Cluster Computing Multiagent Systems Systems and Control Signal Processing Systems and Control
