An Efficient Framework For Clustered Federated Learning. We address the problem of federated learning (fl) where users are distributed and partitioned into clusters. A novel clustered federated learning framework fedgroup is proposed, in which the training of clients is grouped based on the similarities between the clients’ optimization.
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An efficient framework for clustered federated learning. A novel clustered federated learning framework fedgroup is proposed, in which the training of clients is grouped based on the similarities between the clients’ optimization. We propose a new framework dubbed.
An Efficient Framework For Clustered Federated Learning.
A novel clustered federated learning framework fedgroup is proposed, in which the training of clients is grouped based on the similarities between the clients’ optimization. A novel clustered federated learning framework fedgroup is proposed, in which the training of clients is grouped based on the similarities between the clients’ optimization. An efficient framework for clustered federated learning.
For This New Framework Of Clustered Federated Learning, We Propose The Iterative Federated Clustering Algorithm (Ifca), Which Alternately Estimates The Cluster Identities Of The Users And.
With others in the same cluster (same learning task), they can leverage the strength in numbers in order to perform more efficient federated learning. We address the problem of federated learning (fl) where users are distributed and partitioned into clusters. We propose a new framework dubbed.
