Xender+ Cuts IoT Time Series Traffic by Reusing Historical Models Instead of Retraining
A new framework called Xender+ matches incoming sampled data segments to a cloud-side library of pre-trained models, avoiding costly online ...
A new framework called Xender+ matches incoming sampled data segments to a cloud-side library of pre-trained models, avoiding costly online ...
A new DDPG-based scheduling framework called SPARCD uses vehicle position prediction, action masking, and state filling to cut task interruption ...
Researchers in Beijing have unveiled a cloud–edge scheduling framework that combines zero-knowledge range proofs with LSTM-based congestion prediction, cutting industrial ...
Researchers have developed a federated learning-based caching scheme that predicts socially popular content and pre-positions it at the network edge ...
Researchers have developed an autonomous blockchain-based system that improves intrusion detection accuracy while cutting latency and energy consumption in fog ...
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© 2025 Scienmag - Science Magazine