Multi-hop amplify-and-forward relaying enables near-perfect over-the-air realization of fully-connected neural layers via joint optimization of precoders, combiners, and relay gains under power constraints.
Relay-assisted cooperative federated learning
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The paper surveys split and aggregation learning for foundation models in 6G networks to improve efficiency, resource use, and data privacy in distributed AI.
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Realization of a Fully Connected Neural Layer Over-the-Air through Multi-hop Amplify-and-Forward Relays
Multi-hop amplify-and-forward relaying enables near-perfect over-the-air realization of fully-connected neural layers via joint optimization of precoders, combiners, and relay gains under power constraints.
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Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey
The paper surveys split and aggregation learning for foundation models in 6G networks to improve efficiency, resource use, and data privacy in distributed AI.