GitHub - Omkrishna-git/Faderated-Averaging-Algorithm: Federated Averaging (FedAvg): A key federated learning algorithm where clients train models locally on private data, send updates to a central server, and the server averages them to update the global model—enabling decentralized training without sharing raw data.

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Federated Averaging (FedAvg): A key federated learning algorithm where clients train models locally on private data, send updates to a central server, and the server averages them to update the global model—enabling decentralized training without sharing raw data.