16 Federated Knowledge Distillation
H Seo, J Park, S Oh, M Bennis… - Machine Learning and …, 2022 - books.google.com
Machine learning is one of the key building blocks in 5G and beyond [1–3], spanning a
broad range of applications and use cases. In the context of mission-critical applications [2 …
broad range of applications and use cases. In the context of mission-critical applications [2 …
Federated Knowledge Distillation
H Seo, J Park, S Oh, M Bennis, SL Kim - arXiv preprint arXiv:2011.02367, 2020 - arxiv.org
Distributed learning frameworks often rely on exchanging model parameters across workers,
instead of revealing their raw data. A prime example is federated learning that exchanges …
instead of revealing their raw data. A prime example is federated learning that exchanges …
[PDF][PDF] 1 Federated Knowledge Distillation
H Seoa, J Parkb, S Ohc, M Bennisd, SL Kimc - researchgate.net
Machine learning is one of the key building blocks in 5G and beyond [1, 2, 3] spanning a
broad range of applications and use cases. In the context of mission-critical applications [2 …
broad range of applications and use cases. In the context of mission-critical applications [2 …
Federated Knowledge Distillation
H Seo, J Park, S Oh, M Bennis, SL Kim - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Distributed learning frameworks often rely on exchanging model parameters across workers,
instead of revealing their raw data. A prime example is federated learning that exchanges …
instead of revealing their raw data. A prime example is federated learning that exchanges …