AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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An autoencoder (AE)-based framework for ISAC waveform design in noncoherent settings is proposed and results show that the proposed design outperforms conventional schemes in both communication reliability and sensing accuracy, especially under short blocklength and fading conditions.
This work proposes SeFoRA, a sketch-aggregated federated LoRA algorithm in which each client transmits a linear sketch of its local updates, enabling direct aggregation at the federator, and introduces a rank-homogeneous version called SeFoRA-Ho which allows for direct adapter aggregation in this setting.
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