AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Federated Learning (FL) enables collaborative training of machine learning models across distributed clients while preserving data privacy. In practical deployments, FL relies on selecting a subset of clients in each communication round to reduce communication cost, mitigate stragglers, and improve training efficiency...
FedVAR is introduced, a weakly-supervised FL framework explicitly designed for VAR that employs a prototype-based alignment mechanism that creates a shared semantic anchor for all clients to re-center and align their visual and textual feature spaces, establishing a robust framework for distributed intelligence in vide...
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