16 citations · 16 across the 2 of their papers we have counts for
3 papers
eess.SP2021
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning
Chanho Park, Seunghoon Lee, Namyoon Lee
In this paper, we consider the problem of wireless federated learning based on sign stochastic gradient descent (signSGD) algorithm via a multiple access channel. When sending loca…
eess.SP2020★ 16 cited
Bayesian Federated Learning over Wireless Networks
Seunghoon Lee, Chanho Park, Song-Nam Hong +2
Federated learning is a privacy-preserving and distributed training method using heterogeneous data sets stored at local devices. Federated learning over wireless networks requires…
cs.CC2019
Approximating Cumulative Pebbling Cost is Unique Games Hard
Jeremiah Blocki, Seunghoon Lee, Samson Zhou
The cumulative pebbling complexity of a directed acyclic graph is defined as , where the minimum is taken over all legal (parallel) black…