testing adhocSL
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Updated
Apr 8, 2024 - Python
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non-iid-data
Here are 5 public repositories matching this topic...
FedAnil+ is a novel lightweight, and secure Federated Deep Learning Model to address non-IID data, privacy concerns, and communication overhead. This repo hosts a simulation for FedAnil+ written in Python.
blockchain
accuracy
homomorphic-encryption
privacy-preserving
federated-learning
privacy-preserving-machine-learning
communication-efficiency
poisoning-attacks
non-iid-data
inference-attacks
intelligent-enterprises
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Updated
Mar 28, 2024 - Python
FedAnil is a secure blockchain-enabled Federated Deep Learning Model to address non-IID data and privacy concerns. This repo hosts a simulation for FedAnil written in Python.
blockchain
accuracy
homomorphic-encryption
privacy-preserving
federated-learning
privacy-preserving-machine-learning
poisoning-attacks
non-iid-data
inference-attacks
intelligent-enterprises
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Updated
May 23, 2024 - Python
a semi-synchronous Federated Learning method (LESSON) for hetrogenous wireless clients with non-iid data distribution
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Updated
Feb 13, 2024 - Python
This is the PyTorch implementation of our paper "Jie Du, Wei Li, Peng Liu, et al. Model projection based Federated Learning for Non-IID data" .
federated-learning
catastrophic-forgetting
multi-center-disease-diagnosis
non-iid-data
invalid-aggregation
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Updated
Sep 15, 2023 - Python
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