Edge Federated Learning Via Unit-Modulus Over-The-Air Computation (Extended Version)

Shuai Wang
Shuai Wang
Yuncong Hong
Yuncong Hong
Rui Wang
Rui Wang
Qi Hao
Qi Hao
Yik-Chung Wu
Yik-Chung Wu
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Abstract:

Edge federated learning (FL) is an emerging machine learning paradigm that trains a global parametric model from distributed datasets via wireless communications. This paper proposes a unit-modulus over-the-air computation (UM-AirComp) framework to facilitate efficient edge federated learning, which simultaneously uploads local model pa...More

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