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Kangwook Lee
Kangwook Lee
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Speeding Up Distributed Machine Learning Using Codes
K Lee, M Lam, R Pedarsani, D Papailiopoulos, K Ramchandran
IEEE Transactions on Information Theory, 1-1, 2017
9052017
Attack of the tails: Yes, you really can backdoor federated learning
H Wang, K Sreenivasan, S Rajput, H Vishwakarma, S Agarwal, J Sohn, ...
NeurIPS 2020, 2020
4982020
When Do Redundant Requests Reduce Latency?
NB Shah, K Lee, K Ramchandran
IEEE Transactions on Communications 64 (2), 715-722, 2015
2442015
High-dimensional coded matrix multiplication
K Lee, C Suh, K Ramchandran
IEEE ISIT 2017, 2418-2422, 2017
2392017
The MDS Queue: Analysing the Latency Performance of Erasure Codes
K Lee, NB Shah, L Huang, K Ramchandran
IEEE Transactions on Information Theory 63 (5), 2822-2842, 2017
168*2017
FairBatch: Batch Selection for Model Fairness
Y Roh, K Lee, SE Whang, C Suh
ICLR 2021, 2021
1082021
Gradient Inversion with Generative Image Prior
J Kim, J Jeon, K Lee, S Oh, J Ok
NeurIPS 2021, 2021
105*2021
SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing based on Sparse-Graph Codes
K Lee, R Pedarsani, K Ramchandran
IEEE Transactions on Signal Processing, 2019
842019
FR-Train: A mutual information-based approach to fair and robust training
Y Roh, K Lee, SE Whang, C Suh
ICML 2020, 2020
802020
Hierarchical Coding for Distributed Computing
H Park, K Lee, J Sohn, C Suh, J Moon
IEEE ISIT 2018, 2018
802018
Straggler-proofing massive-scale distributed matrix multiplication with d-dimensional product codes
T Baharav, K Lee, O Ocal, K Ramchandran
IEEE ISIT 2018, 2018
762018
PhaseCode: Fast and Efficient Compressive Phase Retrieval based on Sparse-Graph Codes
R Pedarsani, D Yin, K Lee, K Ramchandran
IEEE Transactions on Information Theory 63 (6), 3663-3691, 2017
702017
Hypergraph spectral clustering in the weighted stochastic block model
K Ahn, K Lee, C Suh
IEEE Journal of Selected Topics in Signal Processing 12 (5), 959-974, 2018
692018
On Scheduling Redundant Requests with Cancellation Overheads
K Lee, R Pedarsani, K Ramchandran
IEEE/ACM Transactions on Networking 25 (2), 1279-1290, 2017
602017
Experimental Evaluation of Optimal CSMA
B Nardelli, J Lee, K Lee, Y Yi, S Chong, EW Knightly, M Chiang
IEEE INFOCOM 2011, 1188-1196, 2011
602011
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks
T Dinh, Y Zeng, R Zhang, Z Lin, S Rajput, M Gira, J Sohn, ...
NeurIPS 2022, 2022
572022
Sample Selection for Fair and Robust Training
Y Roh, K Lee, SE Whang, C Suh
NeurIPS 2021, 2021
572021
Coded computation for multicore setups
K Lee, R Pedarsani, D Papailiopoulos, K Ramchandran
IEEE ISIT 2017, 2413-2417, 2017
572017
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
Y Fan, O Watkins, Y Du, H Liu, M Ryu, C Boutilier, P Abbeel, ...
NeurIPS 2023, 2023
50*2023
Looped Transformers as Programmable Computers
A Giannou, S Rajput, J Sohn, K Lee, JD Lee, D Papailiopoulos
ICML 2023, 2023
472023
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Artikelen 1–20