
Partial Federated Learning introduces a new algorithm, PartialFL, to train machine learning models with distributed data modalities, improving model performance and addressing data heterogeneity challenges.


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partial-federated-learning-a-new-approach-to-multi-modal-model-training


Partial Federated Learning: A New Approach to Multi-Modal Model Training


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Partial Federated Learning (PartialFL) addresses data heterogeneity in federated learning by allowing some data modalities to be shared with the server, leading to improved model performance.


partial-federated-learning-addressing-data-heterogeneity-in-federated-learning-with-partialfl-algorithm


Partial Federated Learning: Addressing Data Heterogeneity in Federated Learning with PartialFL Algorithm
