Zengdun-cs

Dun Zeng's repositories

FedAWARE

Code for paper - Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization

Language:PythonMIT2 10

Awesome-Federated-Learning

Federated Learning Library: https://fedml.ai

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FedLab

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

Language:PythonApache-2.0100

K-Vib

Code for paper - Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling

Language:PythonMIT1 10

clustered-federated-learning

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

Language:Jupyter Notebook000

deep-gradient-compression

[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

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divfl

Diverse Client Selection for Federated Learning via Submodular Maximization

Language:PythonMIT000

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

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