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PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.
2021-11-15
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2022-07-01T08:14:43Z
PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS
PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arb...
Minimum Energy Resource Allocation Strategy with partial offloading
A Deep Learning Based Decoder for Concatenated Coding over Deletion Channels (IEEE International Conference on Communications, June 2024)
This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.
Optimization of Offloading Scheme Algorithm for Large Number of Tasks in Mobile-Edge Computing
Here we will be implementing federated learning with some privacy preserving algorithms like Secure aggregation,DP,Fedavg,fedprox,and SMPC
PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
Code for Intelligent Dynamic Data Offloading in a Competitive Mobile Edge Computing Market paper https://www.mdpi.com/1999-5903/11/5/118/pdf
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