4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 4 cited
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication
Muah Kim, Onur Günlü, Rafael F. Schaefer
Federated learning (FL) allows to train a massive amount of data privately due to its decentralized structure. Stochastic gradient descent (SGD) is commonly used for FL due to its…
cs.IT2020
Randomized Nested Polar Subcode Constructions for Privacy, Secrecy, and Storage
Onur Günlü, Peter Trifonov, Muah Kim +2
We consider polar subcodes (PSCs), which are polar codes (PCs) with dynamically-frozen symbols, to increase the minimum distance as compared to corresponding PCs. A randomized nest…
cs.IT2019
Coded Matrix Multiplication on a Group-Based Model
Muah Kim, Jy-yong Sohn, Jaekyun Moon
Coded distributed computing has been considered as a promising technique which makes large-scale systems robust to the "straggler" workers. Yet, practical system models for distrib…