activity
20182024
most citedPersonalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI

36 citations · 174 across the 14 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.LG2023

IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse

Siyuan Li, Hao Li, Jin Zhang +3

Humans have the ability to reuse previously learned policies to solve new tasks quickly, and reinforcement learning (RL) agents can do the same by transferring knowledge from sourc…

cs.SI2023★ 23 cited

Social network modeling and applications, a tutorial

Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi

Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…

cs.HC2023★ 1 cited

Urania: Visualizing Data Analysis Pipelines for Natural Language-Based Data Exploration

Yi Guo, Nan Cao, Xiaoyu Qi +5

Exploratory Data Analysis (EDA) is an essential yet tedious process for examining a new dataset. To facilitate it, natural language interfaces (NLIs) can help people intuitively ex…

eess.IV2023★ 36 cited

Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI

Juexiao Zhou, Longxi Zhou, Di Wang +5

Heterogeneous data is endemic due to the use of diverse models and settings of devices by hospitals in the field of medical imaging. However, there are few open-source frameworks f…

cs.LG2023★ 19 cited

Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare

Juexiao Zhou, Haoyang Li, Xingyu Liao +5

Revoking personal private data is one of the basic human rights, which has already been sheltered by several privacy-preserving laws in many countries. However, with the developmen…

cs.LG2023★ 2 cited

Curriculum Graph Machine Learning: A Survey

Haoyang Li, Xin Wang, Wenwu Zhu

Graph machine learning has been extensively studied in both academia and industry. However, in the literature, most existing graph machine learning models are designed to conduct t…