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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 2024Show all

5 papers · 1 filter

cs.CL2024★ 2 cited

Multilingual Hallucination Gaps in Large Language Models

Cléa Chataigner, Afaf Taïk, Golnoosh Farnadi

Large language models (LLMs) are increasingly used as alternatives to traditional search engines given their capacity to generate text that resembles human language. However, this…

cs.LG2024

Differentially Private Clustered Federated Learning

Saber Malekmohammadi, Afaf Taik, Golnoosh Farnadi

Federated learning (FL), which is a decentralized machine learning (ML) approach, often incorporates differential privacy (DP) to provide rigorous data privacy guarantees. Previous…

cs.LG2024

Fairness Incentives in Response to Unfair Dynamic Pricing

Jesse Thibodeau, Hadi Nekoei, Afaf Taïk +2

The use of dynamic pricing by profit-maximizing firms gives rise to demand fairness concerns, measured by discrepancies in consumer groups' demand responses to a given pricing stra…

cs.LG2024

From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards

Khaoula Chehbouni, Megha Roshan, Emmanuel Ma +4

Recent progress in large language models (LLMs) has led to their widespread adoption in various domains. However, these advancements have also introduced additional safety risks an…

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…