Research Article
Federated Learning Based on OPTICS Clustering Optimization
| Symbol | Explanation |
| | Number of clients | M | Number of data generating distribution | frac | The fraction of clients that perform computation on each round | B | The local minibatch size used for the client updates | β | The local minibatch | E | The number of local epochs | η | Learning rate | | Neural network parameterization | Dk | Data on client k | | Model weight on clients k | ci∈C | One cluster in the set of all clusters found by OCFL |
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