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[TMLR] CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning

contribution-valuation decentralized-learning fair-federated-learning fairness federated-learning fl gossip-algorithms

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Name		Name	Last commit message	Last commit date
README.md		README.md
config.py		config.py
data_loader.py		data_loader.py
dataset.py		dataset.py
loss.py		loss.py
main.py		main.py
models.py		models.py
resnet.py		resnet.py
train.sh		train.sh
trainer.py		trainer.py
utils.py		utils.py

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CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning [TMLR 08/2025]

About

[TMLR] CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning

contribution-valuation decentralized-learning fair-federated-learning fairness federated-learning fl gossip-algorithms

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