arXiv (All)
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One-Shot Federated Model Editing for Device Dynamics at the Edge
and-cluster-computingartificial-intelligencedistributedmachine-learningnetworking-and-internet-architectureparallel
Standard federated learning (FL) requires persistent device connectivity across multiple communication rounds, making it unsuitable for dynamic environments such as vehicular networks, where devices frequently join and leave. One-shot FL offers a promising alternative by completing training in a sin
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