FedBacys reduces energy consumption in energy-harvesting federated learning by making each client wait until just before its scheduled upload time to train, then passing the model through groups in sequence.
On federated learning with energy harvesting clients,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Battery-aware Cyclic Scheduling in Energy-harvesting Federated Learning
FedBacys reduces energy consumption in energy-harvesting federated learning by making each client wait until just before its scheduled upload time to train, then passing the model through groups in sequence.