A literature survey that introduces a taxonomy for computational and communication efficiency in federated learning with foundation models and discusses PEFT, framework readiness, and open research questions.
How can we train deep learning models across clouds and continents? an experimental study
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A Survey on Efficient Federated Learning Methods for Foundation Model Training
A literature survey that introduces a taxonomy for computational and communication efficiency in federated learning with foundation models and discusses PEFT, framework readiness, and open research questions.