No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation

no code implementations • 10 Dec 2023 • Nimesh Agrawal, Anuj Kumar Sirohi, Jayadeva, Sandeep Kumar

However, integrating these graph models into the Federated Learning (FL) paradigm with fairness constraints poses formidable challenges as this requires access to the entire interaction graph and sensitive user information (such as gender, age, etc.)

Fairness Federated Learning +1

Free Lunch for Privacy Preserving Distributed Graph Learning

no code implementations • 18 May 2023 • Nimesh Agrawal, Nikita Malik, Sandeep Kumar

Through extensive experimentation on both synthetic and real datasets, we demonstrate the efficacy of the framework in terms of comparing the results obtained without data sharing to those obtained with data sharing as a benchmark.

Graph Learning Privacy Preserving