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- research-articleNovember 2024
Effective Heterogeneous Federated Learning via Efficient Hypernetwork-based Weight Generation
SenSys '24: Proceedings of the 22nd ACM Conference on Embedded Networked Sensor SystemsPages 112–125https://doi.org/10.1145/3666025.3699326While federated learning leverages distributed client resources, it faces challenges due to heterogeneous client capabilities. This necessitates allocating models suited to clients' resources and careful parameter aggregation to accommodate this ...
