Add split learning example #6217
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Issue
Description
This pull request adds a new split learning example to Flower. The example demonstrates how to train a neural network using split learning across a client and server: the first layers of the model run on the client and the remaining layers on the server. It uses PyTorch to implement the split model and integrates with Flower's federated learning framework.
Related issues/PRs
None.
Proposal
Explanation
The example lives under
examples/split_learningand introduces scripts for the client and server along with helper utilities. It shows how to configure the split model, manage forward and backward passes across the split, and orchestrate training using Flower's client/server APIs.Any other comments?
Please review the example and let me know if any changes are needed.