Afaf Taïk

Prix et distinctions

• (2025) Claire DesChênes Postdoctoral Fellowship. Université de Sherbrooke. (Prix).
• (2025) FRQNT Postdoctoral fellowship. Fonds de recherche du Québec - Nature et technologies (FRQNT). (Prix).
• (2022) Bourse d'exemption des frais de scolarité majorés octroyée par le pays d’origine, par mérite. Maroc. (Distinction).
• (2021) Médaille Léonard De Vinci. Université de Sherbrooke. (Distinction).
• Best Paper Award dans IEEE LCN 2021. IEEE. (Prix).

Financement

• Subvention. (Obtenu). Candidat principal. Startup fund. Université de Sherbrooke. 70 000 $. (2025-2028)
• Bourse d’études. (Obtenu). Cocandidat. MIE (Development for All) Award. Mila-Quebec AI Institute. 147 000 $. (2022-2024)

Publications

Articles de revue

• Amine Abouaomar; Afaf Taik; Abderrahime Filali; Soumaya Cherkaoui. (2023). Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks. IEEE Communications Magazine (Article publié).
• Afaf Taïk; Zoubeir Mlika; Soumaya Cherkaoui. (2022). Clustered Vehicular Federated Learning: Process and Optimization. IEEE Transactions on Intelligent Transportation Systems 23 12. (Article publié).
• A. Taïk, Z.Mlika and S. Cherkaoui. (2021). Data-Aware Device Scheduling for Federated Edge Learning. IEEE Transactions on Cognitive Communications and Networking DOI. (Article publié).
• Afaf Taik; Boubakr Nour; Soumaya Cherkaoui. (2021). Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning. IEEE Wireless Communications 28 (6), (Article publié).
• Afaf Taik; Soumaya Cherkaoui. (2021). Federated edge learning: Design issues and challenges. IEEE Network 35 (2), (Article publié).

Chapitres de livre

• Afaf Taik, Amine Abouaomar, Soumaya Cherkaoui. (2024). Green federated learning-based models and protocols. Saim Ghafoor, Mubashir Husain Rehmani. Green Machine Learning Protocols for Future Communication Network (63-102). CRC Press. (Article publié).
• Amine Abouaomar, Abderrahime Filali, Afaf Taik, Soumaya Cherkaoui. (2024). Machine Learning Applications in CR-IoV. Syed Hashim Raza Bukhari, Muhammad Maaz Rehan, Mubashir Husain Rehmani. Cognitive Radio-based Internet of Vehicles (21-49). CRC Press. (Article publié).

Articles de conférence

• J. Thibodeau, H. Nekoei, A. Taik, J. Rajendran, and G. Farnadi. (2025). Balancing Profit and Fairness in Risk-Based Pricing Markets. AAAI Conference on Artificial Intelligence. (Article soumis).
• Khaoula Chehbouni, Martine De Cock, Gilles Caporossi, Afaf Taik, Reihaneh Rabbany, Golnoosh Farnadi. (2025). Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy. Proceedings of the AAAI Conference on Artificial Intelligence, (Article publié).
• Afaf Taik, Khaoula Chehbouni, Golnoosh Farnadi. (2025). Fairness in Federated Learning: Fairness for Whom?. AAAI/ ACM AIES. (Article accepté).
• Cléa Chataigner, Afaf Taïk, Golnoosh Farnadi. (2025). Multilingual hallucination gaps in large language models. PMLR, 133-155. (Article publié).
• Reva Schwartz, Rumman Chowdhury, Akash Kundu, Heather Frase, Marzieh Fadaee, Tom David, Gabriella Waters, Afaf Taik, Morgan Briggs, Patrick Hall, Shomik Jain, Kyra Yee, Spencer Thomas, Sundeep Bhandari, Lee Wan Sie, Qinghua Lu, Matthew Holmes, Theodora Skeadas. (2025). Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects. Neurips. (Article soumis).
• Cléa Chataigner, Rebecca Ma, Prakhar Ganesh, Afaf Taïk, Elliot Creager, Golnoosh Farnadi. (2025). Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework. ARR Rolling review. (Article soumis).
• Selin Ida Omur, Jacqueline Silver, Afaf Taïk, Golnoosh Farnadi. (2025). The (Im)possibility of Fairness in Federated Learning: An Empirical Lens. IJCAI - Social Choice and Learning Algorithms Workshop. (Article accepté).
• Prakhar Ganesh, Afaf Taik, Golnoosh Farnadi. (2025). The Curious Case of Arbitrariness in Machine Learning. AAAI/ACM AIES. (Article accepté).
• Khaoula Chehbouni, Martine De Cock, Gilles Caporossi, Afaf Taik, Reihaneh Rabbany, Golnoosh Farnadi. (2024). Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy. EAAMO. (Article publié).
• Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi. (2024). Fairness Incentives in Response to Unfair Dynamic Pricing. ACM EAAMO. (Article publié).
• Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Andrew Wei, Afaf Taïk, Jackie CK Cheung, Golnoosh Farnadi. (2024). From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards. Anthology, (Article publié).
• S. Malekmohammadi,A. Taïk, and G. Farnadi. (2024). Performance Fairness in Differentially Private Federated Learning. AAAI- PPAI Workshop. (Article publié).
• Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi. (2024). Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread. Proceedings of the AAAI Conference on Artificial Intelligence, 22285-22293. (Article publié).
• A. Taik, K. Chehbouni, K. Jain, A. Akinfaderin, K. Bouzoubaa, N. Tazi, and G. Farnadi,. (2023). Unmasking Predators: Safeguarding Vulnerable Moroccan Communities Post-Earthquake. NeurIPS NAML Affinity Workshop. (Article publié).
• Maryam Molamohammadi, Afaf Taik, Nicolas Le Roux, Golnoosh Farnadi. (2023). Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements. ACM, (Article publié).
• Afaf Taïk, Hajar Moudoud, Soumaya Cherkaoui. (2021). Data-quality based scheduling for federated edge learning. IEEE, 17-23. (Article publié).
• Afaf Taïk, Soumaya Cherkaoui. (2020). Electrical load forecasting using edge computing and federated learning. IEEE, 1-6. (Article accepté).

Autres contributions

Gestion d'évènements

• Organizer. (2025) Exploring roles for technology in radical theories of change - The great transition. (Atelier).
• Organizing committee member. (2024) MoroccoAI Annual Conference. (Conférence).
• Organizer. (2024) (Re)thinking Responsible AI - Mila Responsible AI Week. (Atelier).
• Organizing committee member. (2023) MoroccoAI Annual Conference. (Conférence).
• Selection Committee Member. (2023) AI Summer School. (Atelier).

Activités de collaboration internationale

• Researcher. Canada.

Présentations

• Afaf Taik. (2025). A short introduction to fairness in machine learning. AI Forge Program. Algérie
• Afaf Taik, Khaoula Chehbouni. (2025). Can AI Ever be Fair?. Women TechMakers Montreal. Montreal, Canada
• Afaf Taik. (2025). Fairness in Federated Learning: Are we asking the right questions?. METIS Spring School. Rabat, Maroc
• Afaf Taik. (2025). Fairness in Federated Learning: Fairness for whom?. FATE and Society Reading Group. Montreal, Canada
• Afaf Taik. (2024). A hands-on privacy preserving machine learning. AI Summer School - AUI. Ifrane, Maroc
• Afaf Taik. (2024). A short introduction to Fairness in NLP. AI Summer School - AUI. Ifrane, Maroc
• Afaf Taik. (2024). A technical and responsible lens on Privacy in machine learning. Math\&Maroc Webinar. Maroc
• Afaf Taik. (2024). Fairness in machine learning. Drug Discovery Summer School. Montreal, Canada
• Khaoula Chehbouni, Afaf Taik. (2024). Towards Inclusive AI: Understanding Bias in Machine Learning Models. Women TechMakers Montreal. Montreal, Canada
• Afaf Taik. (2024). Understanding and navigating bias in machine learning. MoroccoAI Webinar. Maroc