LoRA-federated
Each client trains LoRA adapter locally. Central aggregates adapters (FedAvg). Only adapter weights leave client.
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Secure aggregation
Cryptographic aggregation: server sees only sum, not individual contributions. Meta's Federated Learning Framework.
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DP layer
Add DP noise to per-client updates. Provable privacy guarantee.
Communication cost
LoRA adapters small (MB range). Feasible over WAN. Full fine-tune too expensive to federate.