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20202026
most citedElectrical Load Forecasting Using Edge Computing and Federated Learning

251 citations · 264 across the 17 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.AI2025

Balancing Profit and Fairness in Risk-Based Pricing Markets

Jesse Thibodeau, Hadi Nekoei, Afaf Taïk +2

Dynamic, risk-based pricing can systematically exclude vulnerable consumer groups from essential resources such as health insurance and consumer credit. We show that a regulator ca…

cs.CY2025

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects

Reva Schwartz, Rumman Chowdhury, Akash Kundu +17

Conventional AI evaluation approaches concentrated within the AI stack exhibit systemic limitations for exploring, navigating and resolving the human and societal factors that play…

cs.LG2025

Fairness in Federated Learning: Fairness for Whom?

Afaf Taik, Khaoula Chehbouni, Golnoosh Farnadi

Fairness in federated learning has emerged as a rapidly growing area of research, with numerous works proposing formal definitions and algorithmic interventions. Yet, despite this…

cs.CL2025

Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework

Cléa Chataigner, Rebecca Ma, Prakhar Ganesh +4

Large language models (LLMs) are highly sensitive to subtle changes in prompt phrasing, posing challenges for reliable auditing. Prior methods often apply unconstrained prompt para…

cs.LG2025

Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning

Prakhar Ganesh, Afaf Taik, Golnoosh Farnadi

Algorithmic modeling relies on limited information in data to extrapolate outcomes for unseen scenarios, often embedding an element of arbitrariness in its decisions. A perspective…

cs.CL2025

Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy

Khaoula Chehbouni, Martine De Cock, Gilles Caporossi +3

The increased screen time and isolation caused by the COVID-19 pandemic have led to a significant surge in cases of online grooming, which is the use of strategies by predators to…