4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2025
FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures
Jiacheng Wang, Hongtao Lv, Lei Liu
Traditional Federated Learning (FL) faces significant challenges in terms of efficiency and accuracy, particularly in heterogeneous environments where clients employ diverse model…
cs.SE2021★ 4 cited
PyTorrent: A Python Library Corpus for Large-scale Language Models
Mehdi Bahrami, N. C. Shrikanth, Shade Ruangwan +6
A large scale collection of both semantic and natural language resources is essential to leverage active Software Engineering research areas such as code reuse and code comprehensi…
cs.CL2021
Few-Shot Partial-Label Learning
Yunfeng Zhao, Guoxian Yu, Lei Liu +3
Partial-label learning (PLL) generally focuses on inducing a noise-tolerant multi-class classifier by training on overly-annotated samples, each of which is annotated with a set of…