Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things

Client Selection in Hierarchical Federated Learning

S Trindade, NLS da Fonseca - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Federated Learning is a promising technique for providing distributed learning without
clients disclosing their private data. In Hierarchical Federated Learning, edge servers …
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Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach

X Chen, Z Li, W Ni, X Wang, S Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Federated learning (FL) is a viable technique to train a shared machine learning model
without sharing data. Hierarchical FL (HFL) system has yet to be studied regrading its …
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