Park, Jihong

Blockchained On-Device Federated Learning

Kim, H., Park, J., Bennis, M., & Kim, S.-L. (2020) · IEEE Communications Letters

Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data

Cited by 887

Blockchained On-Device Federated Learning

Kim, H., Park, J., Bennis, M., & Kim, S.-L. (2018) · arXiv

Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data

Cited by 882

Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Jeong, E., Oh, S., Kim, H., Park, J., Bennis, M., & Kim, S.-L. (2018) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 465

Wireless Network Intelligence at the Edge

Park, J., Samarakoon, S., Bennis, M., & Debbah, M. (2019) · Proceedings of the IEEE

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 92

Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications

Park, J., Samarakoon, S., Elgabli, A., Kim, J., Bennis, M., Kim, S.-L., & Debbah, M. (2021) · Proceedings of the IEEE

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 25

Harnessing wireless channels for scalable and privacy-preserving federated learning

Elgabli, A., Park, J., Issaid, C. B., & Bennis, M. (2021) · IEEE Transactions on Communications

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 14