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    Recent Posts

    Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing

    Survey in FL (Part 2)

    Survey in FL and ML

    An Edge based Federated Learning Framework for Person Re-identification in UAV Delivery Service(ICWS 2021)

    HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services(ICWS 2023)

    Resource-Adaptive Federated Learning with All-In-One Neural Composition(NeurIPS 2022)

    Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework (NeurIPS 2022)

    Efficient Federated Random Subnetwork Training

    FedFed: Feature Distillation against Data Heterogeneity in Federated Learning

    FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models

    Reinforcement Learning

    Recent Advances on Federated Learning: A Systematic Survey(2023) + Machine Learning

    Federated Learning in Mobile Edge Networks : A Comprehensive Survey论文精读