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FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning
Data heterogeneity across clients is one of the key challenges in Federa...
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PFL-MoE: Personalized Federated Learning Based on Mixture of Experts
Federated learning (FL) is an emerging distributed machine learning para...
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Impact of Temporary Fork on the Evolution of Mining Pools in Blockchain Networks: An Evolutionary Game Analysis
Temporary fork is a fundamental phenomenon in many blockchains with proo...
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Garou: An Efficient and Secure Off-Blockchain Multi-Party Payment Hub
To mitigate the scalability problem of decentralized cryptocurrencies su...
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