Layer-wise knowledge distillation for cross-device federated learning
Federated Learning (FL) has been proposed as a decentralized machine learning system
where multiple clients jointly train the model without sharing private data. In FL, the statistical …
where multiple clients jointly train the model without sharing private data. In FL, the statistical …
Layer-wise Knowledge Distillation for Cross-Device Federated Learning
HQ Le, LX Nguyen, SB Park, CS Hong - … International Conference on …, 2023 - computer.org
Federated Learning (FL) has been proposed as a decentralized machine learning system
where multiple clients jointly train the model without sharing private data. In FL, the statistical …
where multiple clients jointly train the model without sharing private data. In FL, the statistical …
Layer-wise Knowledge Distillation for Cross-Device Federated Learning
HQ Le, LX Nguyen, SB Park… - … Networking, ICOIN 2023, 2023 - khu.elsevierpure.com
Federated Learning (FL) has been proposed as a decentralized machine learning system
where multiple clients jointly train the model without sharing private data. In FL, the statistical …
where multiple clients jointly train the model without sharing private data. In FL, the statistical …