1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2023
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness
Yichuan Li, Jialong Han, Kyumin Lee +3
In recent years, Pre-trained Language Models (PLMs) have shown their superiority by pre-training on unstructured text corpus and then fine-tuning on downstream tasks. On entity-ric…
math.OC2022
Distributed Primal-dual Optimization for Heterogeneous Multi-agent Systems
Yichuan Li, Petros Voulgaris, Nikolaos M. Freris
Heterogeneous networks comprise agents with varying capabilities in terms of computation, storage, and communication. In such settings, it is crucial to factor in the operating cha…
cs.LG2022★ 1 cited
FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity
Yonghai Gong, Yichuan Li, Nikolaos M. Freris
Federated Learning (FL) is an emerging framework for distributed processing of large data volumes by edge devices subject to limited communication bandwidths, heterogeneity in data…