Presenting three works at KDD in Toronto

This week I’m at ACM SIGKDD & Annual KDD Conference in Toronto 🇨🇦. Let’s connect if you’re interested in privacy/gradient inversion attacks in federated learning, counterfactual explanations, or fairness and XAI!

Here’s where you can find me:

📅 Tuesday 5:30 - 8 pm (Exhibit Hall F, poster no. 141) and Friday 8:55 - 9:15 (Room 801 A, talk)
I’ll be giving a talk and presenting a poster on Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model Change. Co-authors: Mateusz Lango and Jerzy Stefanowski (Poznan University of Technology, Faculty of Computing and Telecommunications).

🌐 Project website: https://ignacystepka.com/projects/betarce
📄 Paper: https://arxiv.org/abs/2408.04842

📅 Monday 8:00 am - 12:00 pm (Room 700)
I’ll be presenting our work on Mitigating Persistent Client Dropout in Asynchronous Decentralized Federated Learning as part of the FedKDD workshop. Co-authors: Kacper Trębacz, Nick Gisolfi and Artur Dubrawski (CMU Auton Lab).

🌐 Project website: https://ignacystepka.com/projects/fedkdd2025
📄 Paper: https://openreview.net/pdf/576de662469cc582b58b74ac62f0016c4eb3c25b.pdf

📅 Tuesday 5:45 pm - 8:00 pm (Exhibit Hall F, poster no. 437)
Łukasz Sztukiewicz will present our joint work on the relationship between saliency maps and fairness as part of the Undergraduate-Master’s Consortium. Co-authors: Łukasz Sztukiewicz, Michał Wiliński and Jerzy Stefanowski (Poznan University of Technology, Faculty of Computing and Telecommunications)

📄 Paper: https://arxiv.org/abs/2503.00234