H-FedSN trains binary masks on frozen weights with shared and private layers, plus Beta-Bernoulli Bayesian aggregation, and reports 58-238x lower communication than HierFAVG with comparable accuracy.
Smart farming: An overview,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications
H-FedSN trains binary masks on frozen weights with shared and private layers, plus Beta-Bernoulli Bayesian aggregation, and reports 58-238x lower communication than HierFAVG with comparable accuracy.