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fedavgm

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c-gabri / Federated-Learning-PyTorch

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PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arbitrary non-identicalness and imbalance (Dirichlet priors). Client systems can be arbitrarily heterogeneous. Several mobile-friendly models are prov…

pytorch sgd classification heterogeneity federated-learning imbalance non-iid fedavg fedprox fedsgd fedavgm fedir fedvc
  • Updated Feb 27, 2022
  • Python

Aliz-f / edge-web-attack-detection-federated

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Federated Learning with 1D-CNN for Web Attack Detection on Edge-IIoTset using the Flower Framework. This project explores both IID and Non-IID data partitions to evaluate federated performance in decentralized IoT environments.

iot machine-learning deep-neural-networks deep-learning machine-learning-algorithms distributed-computing deep-learning-algorithms iiot cnn-model intrusion-detection-system edge-computing federated-learning fedavg fedavgm fedopt flower-framework edge-iiotset flower-federated-learning dew-computing
  • Updated Aug 28, 2026
  • Python

smshagor-dev / Federated-Learning-on-Non-IID-Data-Differential-Privacy

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Privacy-aware federated learning research platform for Non-IID data, FedAvg, FedProx, SCAFFOLD, client-level differential privacy, RDP accounting, and reproducible experiments.

machine-learning deep-learning scaffold pytorch differential-privacy federated-learning privacy-preserving-machine-learning federated-optimization fedavg fedprox fedproxvr fedavgm non-iid-data
  • Updated Aug 26, 2026
  • Python

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