121 citations · 237 across the 6 of their papers we have counts for
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cs.LG2021
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge
Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim +1
Edge computing has revolutionized the world of mobile and wireless networks world thanks to its flexible, secure, and performing characteristics. Lately, we have witnessed the incr…
cs.NI2021★ 121 cited
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour +3
The conventional federated learning (FedL) architecture distributes machine learning (ML) across worker devices by having them train local models that are periodically aggregated b…