activity
20212026
most citedPrivFairFL: Privacy-Preserving Group Fairness in Federated Learning

13 citations · 13 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR2026

Open, to What End? A Capability-Theoretic Perspective on Open Search

Nicola Neophytou, Bhaskar Mitra

The hegemony of control over our search platforms by a few large corporations raises justifiable concerns, particularly in light of emerging geopolitical tensions and growing insta…

cs.CY2026

Information Access of the Oppressed: Freirean Design for Emancipatory Information Access

Bhaskar Mitra, Nicola Neophytou, Sireesh Gururaja

Online information access (IA) platforms are targets of authoritarian capture. We explore the question of how to safeguard our platforms and ensure emancipatory outcomes through th…

cs.IR2024

Embedding Cultural Diversity in Prototype-based Recommender Systems

Armin Moradi, Nicola Neophytou, Florian Carichon +1

Popularity bias in recommender systems can increase cultural overrepresentation by favoring norms from dominant cultures and marginalizing underrepresented groups. This issue is cr…

cs.IR2024

Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations

Armin Moradi, Nicola Neophytou, Golnoosh Farnadi

Popularity bias in music recommendation systems -- where artists and tracks with the highest listen counts are recommended more often -- can also propagate biases along demographic…

cs.CY2024

Promoting Fair Vaccination Strategies Through Influence Maximization: A Case Study on COVID-19 Spread

Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi

The aftermath of the Covid-19 pandemic saw more severe outcomes for racial minority groups and economically-deprived communities. Such disparities can be explained by several facto…

cs.LG2022★ 13 cited

PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning

Sikha Pentyala, Nicola Neophytou, Anderson Nascimento +2

Group fairness ensures that the outcome of machine learning (ML) based decision making systems are not biased towards a certain group of people defined by a sensitive attribute suc…