The content discusses distributed fixed-point algorithms for dynamic convex optimization over decentralized wireless networks. It introduces a new OTA-C protocol for consensus in large networks, demonstrating low-latency and energy efficiency. The paper presents theoretical analysis, proofs of convergence, and practical applications in distributed supervised learning.
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arxiv.org
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by Navn... kl. arxiv.org 03-05-2024
https://arxiv.org/pdf/2401.18030.pdfDybere Forespørgsler