activity
20182025
most citedAnalytic Personalized Federated Meta-Learning

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2025

Communication and Computation Efficient Split Federated Learning in O-RAN

Shunxian Gu, Chaoqun You, Bangbang Ren +1

The hierarchical architecture of Open Radio Access Network (O-RAN) has enabled a new Federated Learning (FL) paradigm that trains models using data from non- and near-real-time (ne…

cs.LG2025

DHO: Accelerating Distributed Hybrid Order Optimization via Model Parallelism and ADMM

Shunxian Gu, Chaoqun You, Bangbang Ren +3

Scaling deep neural network (DNN) training to more devices can reduce time-to-solution. However, it is impractical for users with limited computing resources. FOSI, as a hybrid ord…