| An efficient framework for clustered federated learning A Ghosh, J Chung, D Yin, K Ramchandran Advances in Neural Information Processing Systems 33, 19586-19597, 2020 | 638 | 2020 |
| An efficient framework for clustered federated learning A Ghosh, J Chung, D Yin, K Ramchandran IEEE Transactions on Information Theory 68 (12), 8076-8091, 2022 | 57 | 2022 |
| SeF: A secure fountain architecture for slashing storage costs in blockchains S Kadhe, J Chung, K Ramchandran arXiv preprint arXiv:1906.12140, 2019 | 37 | 2019 |
| Ubershuffle: Communication-efficient data shuffling for sgd via coding theory J Chung, K Lee, R Pedarsani, D Papailiopoulos, K Ramchandran Advances in Neural Information Processing Systems (NIPS), 2017 | 30 | 2017 |
| Machine learning approaches for learning analytics: Collaborative filtering or regression with experts K Lee, J Chung, Y Cha, C Suh NIPS workshop, Dec, 1-11, 2016 | 23 | 2016 |
| Federated unsupervised clustering with generative models J Chung, K Lee, K Ramchandran AAAI 2022 International Workshop on Trustable, Verifiable and Auditable …, 2022 | 20 | 2022 |
| Large-Scale and Interpretable Collaborative Filtering for Educational Data K Lee, J Chung, C Suh ML4ED KDD Work, 1-7, 2017 | 4 | 2017 |
| Robust class parallelism-error resilient parallel inference with low communication cost Y Yang, J Chung, G Wang, V Gupta, A Karnati, K Jiang, I Stoica, ... 2020 54th Asilomar Conference on Signals, Systems, and Computers, 1064-1065, 2020 | 2 | 2020 |
| Efficient Clustering Frameworks for Federated Learning Systems J Chung, A Ghosh, D Yin, K Lee, K Ramchandran | | 2023 |
