7 citations · 11 across the 3 of their papers we have counts for
5 papers
Short-Length Code Designs for Integrated Sensing and Communications: A Deep Learning Approach
Muah Kim, Shuangyang Li, Tayyebeh Jahani-Nezhad +2
Integrated sensing and communication (ISAC) enables joint communication and sensing using a shared waveform, but its signal design is challenging due to the inherent trade-off betw…
Diffusion Models for Accurate Channel Distribution Generation
Muah Kim, Rick Fritschek, Rafael F. Schaefer
Strong generative models can accurately learn channel distributions. This could save recurring costs for physical measurements of the channel. Moreover, the resulting differentiabl…
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…
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…
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…