CovFedAvg selects federated models using local low-loss curves
On width-16 gas-sensor clients, balanced accuracy rose from FedAvg's 88.88% to 89.84%, below matched fine-tuning.
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On width-16 gas-sensor clients, balanced accuracy rose from FedAvg's 88.88% to 89.84%, below matched fine-tuning.
A summer-school study shows federated fine-tuning of MobileNetV4 leaks labels and stays open to client backdoors.
Proximal federated optimization beat FedAvg for transferable intrusion detection on CIC-IDS 2017, showing a depth-versus-breadth trade-off.
CTP-FL estimates a shared global gradient path at the same per-round cost as FedAvg-M.
Federated learning framework combining dynamic differential privacy, homomorphic encryption, and local DP retains 82.6% accuracy at epsilon 0.1 while cutting communication 21.3%.
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