most citedFast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2025

A Multi-agent Text2SQL Framework using Small Language Models and Execution Feedback

Thanh Dat Hoang, Thanh Trung Huynh, Matthias Weidlich +4

Text2SQL, the task of generating SQL queries from natural language text, is a critical challenge in data engineering. Recently, Large Language Models (LLMs) have demonstrated super…

cs.DC2025★ 1 cited

ContinuumConductor : Decentralized Process Mining on the Edge-Cloud Continuum

Hendrik Reiter, Janick Edinger, Martin Kabierski +10

Process mining traditionally assumes centralized event data collection and analysis. However, modern Industrial Internet of Things systems increasingly operate over distributed, re…

cs.DB2025★ 2 cited

Determining Window Sizes using Species Estimation for Accurate Process Mining over Streams

Christian Imenkamp, Martin Kabierski, Hendrik Reiter +3

Streaming process mining deals with the real-time analysis of event streams. A common approach for it is to adopt windowing mechanisms that select event data from a stream for subs…

cs.LG2024★ 4 cited

Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience

Thanh Trung Huynh, Trong Bang Nguyen, Phi Le Nguyen +4

Federated learning (FL) has recently emerged as a compelling machine learning paradigm, prioritizing the protection of privacy for training data. The increasing demand to address i…

cs.CR2024

Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures

Thanh Toan Nguyen, Quoc Viet Hung Nguyen, Thanh Tam Nguyen +4

Recommender systems have become an integral part of online services to help users locate specific information in a sea of data. However, existing studies show that some recommender…