activity
20212024
most citedFrom Distributed Machine Learning to Federated Learning: A Survey

359 citations · 360 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2024

Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned

Yuan Liao, Jiang Bian, Yuhui Yun +9

While the field of NL2SQL has made significant advancements in translating natural language instructions into executable SQL scripts for data querying and processing, achieving ful…

cs.DC2023★ 1 cited

Distributed and Deep Vertical Federated Learning with Big Data

Ji Liu, Xuehai Zhou, Lei Mo +5

In recent years, data are typically distributed in multiple organizations while the data security is becoming increasingly important. Federated Learning (FL), which enables multipl…

cs.DC2021

Data Placement for Multi-Tenant Data Federation on the Cloud

Ji Liu, Lei Mo, Sijia Yang +4

Due to privacy concerns of users and law enforcement in data security and privacy, it becomes more and more difficult to share data among organizations. Data federation brings new…

cs.LG2021

Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study

Xuhong Li, Haoyi Xiong, Siyu Huang +2

Existing interpretation algorithms have found that, even deep models make the same and right predictions on the same image, they might rely on different sets of input features for…

cs.DC2021★ 359 cited

From Distributed Machine Learning to Federated Learning: A Survey

Ji Liu, Jizhou Huang, Yang Zhou +4

In recent years, data and computing resources are typically distributed in the devices of end users, various regions or organizations. Because of laws or regulations, the distribut…