DPGA combines delayed gradient averaging with randomly sampled partial-gradient masks, and its CIFAR-10/100 experiments report much higher accuracy and lower communication than FedAvg, DGA, and LG-Fed.
Wireless network intelligence at the edge,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2024 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Delayed Random Partial Gradient Averaging for Federated Learning
DPGA combines delayed gradient averaging with randomly sampled partial-gradient masks, and its CIFAR-10/100 experiments report much higher accuracy and lower communication than FedAvg, DGA, and LG-Fed.