Proposes and evaluates digital and over-the-air implementations of FL, FD, and novel HFD over Gaussian multiple-access channels for heterogeneous data.
Sparse binary compression: Towards distributed deep learning with minimal communication,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IT 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data
Proposes and evaluates digital and over-the-air implementations of FL, FD, and novel HFD over Gaussian multiple-access channels for heterogeneous data.