FedOptima reduces both straggler and dependency idle times in federated learning via layer offloading, asynchronous aggregation, auxiliary networks, and server scheduling, delivering up to 21.8x faster training.
Very Deep Convolutional Networks for Large-scale Image Recognition,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
FedOptima: Optimizing Resource Utilization in Federated Learning
FedOptima reduces both straggler and dependency idle times in federated learning via layer offloading, asynchronous aggregation, auxiliary networks, and server scheduling, delivering up to 21.8x faster training.