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Table of Contents
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- Note
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Need to be developed.
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The following requirements have been expressed.
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+ - Central Server: In federated learning, the central server acts as a hub that coordinates the learning process, aggregates model updates, and distributes aggregated updates back to client devices.
+ - Client Devices: These are decentralized devices participating in federated learning. Each client device uses its local data to train models independently and sends updates back to the central server.
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