MDIFL: Robust federated learning based on malicious detection and incentives

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MDIFL: Robust federated learning based on malicious detection and incentives

FedSQ: Sparse-Quantized Federated Learning for Communication Efficiency

Z Long, Y Chen, H Dou, Y Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org

In this paper, we explore an emerging customer application named federated learning in
Mobile Edge Computing (MEC). Federated learning is a machine learning technique that …

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MDIFL: Robust federated learning based on malicious detection and incentives

FedSQ: Sparse-Quantized Federated Learning for Communication Efficiency

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