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cs.IT2024
An Autoencoder-Based Constellation Design for AirComp in Wireless Federated Learning
Yujia Mu, Xizixiang Wei, Cong Shen
Wireless federated learning (FL) relies on efficient uplink communications to aggregate model updates across distributed edge devices. Over-the-air computation (a.k.a. AirComp) has…
cs.IT2023★ 1 cited
Communication and Storage Efficient Federated Split Learning
Yujia Mu, Cong Shen
Federated learning (FL) is a popular distributed machine learning (ML) paradigm, but is often limited by significant communication costs and edge device computation capabilities. F…