A sheaf-Laplacian regularized decentralized multimodal federated learning algorithm with local attention is proposed and claimed to converge to a stationary point, with reported gains on two wireless tasks.
Hybrid beamforming/combining for millimeter wave mimo: A machine learning approach,
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Sheaf-Based Decentralized Multimodal Learning for Next-Generation Wireless Communication Systems
A sheaf-Laplacian regularized decentralized multimodal federated learning algorithm with local attention is proposed and claimed to converge to a stationary point, with reported gains on two wireless tasks.