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FedCPD: Personalized Federated Learning with Prototype-Enhanced ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedCPD.pdf

In this subsection, we present the convergence analysis for FedCPD and outline the assumptions necessary to prove its convergence, following a framework similar to FedProto [Tan et al., 2022b], FedHKD [Chen et al., 2023] and FedCRL [Huang et al., 2024].

Optimizing Data-Driven Federated Learning in UAV Networks

https://cis-linux1.temple.edu/~jiewu/research/publications/Publication_files/ICPADS2024.pdf

For ex-ample, Zhan et al. [34] optimize the wake-up schedule and trajectory of UAVs to minimize the energy consumption of sensor nodes, while Gong et al. [35] minimize the UAV flight time while ensuring reliable data upload from sensors.