seyoungahn

Ph.D. student, Research interests in AI-embedded MAC protocol, cell-free massive MIMO, federated learning

Mobile Communications & Computing (MCC) Lab.Hanyang University, South Korea

Pinned Repositories

FD_NOMA_DDPG
Language:Python40
FedDif
Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data" paper.
Language:Python193
FL_test
Federated learning
Language:Python00
ICC2023_SplitMP
Official implementation of SplitMP (IEEE ICC 2023)
Language:Python00
KDFL-torch
Language:Python0 1 00
plot
Plotting graph for paper works
Language:Python11
seyoungahn.github.io
Language:SCSS0 1 00

seyoungahn's Repositories

seyoungahn/FedDif
Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data" paper.
Language:Python193
seyoungahn/FD_NOMA_DDPG
Language:Python40
seyoungahn/plot
Plotting graph for paper works
Language:Python11
seyoungahn/FL_test
Federated learning
Language:Python00
seyoungahn/ICC2023_SplitMP
Official implementation of SplitMP (IEEE ICC 2023)
Language:Python00
seyoungahn/KDFL-torch
Language:Python0 1 00
seyoungahn/seyoungahn.github.io
Language:SCSS0 1 00