Afaf Taïk

Orcid: 0000-0003-1485-1845

According to our database1, Afaf Taïk authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Multilingual Hallucination Gaps in Large Language Models.
CoRR, 2024

Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering.
CoRR, 2024

Fairness Incentives in Response to Unfair Dynamic Pricing.
CoRR, 2024

From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks.
IEEE Commun. Mag., February, 2023

Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022
Clustered Vehicular Federated Learning: Process and Optimization.
IEEE Trans. Intell. Transp. Syst., 2022

Data-Aware Device Scheduling for Federated Edge Learning.
IEEE Trans. Cogn. Commun. Netw., 2022

Federated Learning for RAN Slicing in Beyond 5G Networks.
CoRR, 2022

2021
Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning.
IEEE Wirel. Commun., 2021

Federated Edge Learning: Design Issues and Challenges.
IEEE Netw., 2021

Data-Quality Based Scheduling for Federated Edge Learning.
Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

2020
Electrical Load Forecasting Using Edge Computing and Federated Learning.
Proceedings of the 2020 IEEE International Conference on Communications, 2020


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