Afaf Taïk
Professeure, Faculté de génie
FGEN Département de génie électrique et de génie informatique
Présentation
Adhésions
- (2025-). Mila - Quebec Artificial Intelligence Institute. Montreal, Quebec, Canada.
Diplômes
- (2018-2022). Université de Sherbrooke. Sherbrooke, QC, Canada.
Expériences académiques
- Assistant Professor. (2025-). Université de Sherbrooke. Sherbrooke, Quebec, Canada.
- (2022-2025). Université de Montréal. Montreal, Canada.
- (2022-2025). Mila - Quebec Artificial Intelligence Institute. Montreal, Quebec, Canada.
Publications
Articles
- 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. DOI
- (2025). Balancing Profit and Fairness in Risk-Based Pricing Markets. Arxiv.
- (2025). Differentially Private Clustered Federated Learning. Arxiv.
- (2025). Fairness in Federated Learning: Fairness for Whom?. Arxiv.
- (2025). Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects. Arxiv.
- (2025). Say It Another Way: A Framework for User-Grounded Paraphrasing. Arxiv.
- (2025). The Curious Case of Arbitrariness in Machine Learning. Arxiv.
- Nicola Neophytou, Afaf Taik, 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. DOI
- (2024). Fairness Incentives in Response to Unfair Dynamic Pricing. Arxiv.
- (2024). Multilingual Hallucination Gaps in Large Language Models. Arxiv.
- Amine Abouaomar, Afaf Taik, Abderrahime Filali, Soumaya Cherkaoui. (2023). Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks. IEEE Communications Magazine. DOI
- (2023). Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements. PROCEEDINGS OF 2023 ACM CONFERENCE ON EQUITY AND ACCESS IN ALGORITHMS, MECHANISMS, AND OPTIMIZATION, EAAMO 2023. DOI
- (2022). Clustered Vehicular Federated Learning: Process and Optimization. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. DOI
- (2022). Data-Aware Device Scheduling for Federated Edge Learning. IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING. DOI
- Afaf Taik, Boubakr Nour, Soumaya Cherkaoui. (2021). Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning. IEEE Wireless Communications. DOI
- Afaf Tak, Soumaya Cherkaoui. (2021). Federated Edge Learning: Design Issues and Challenges. IEEE Network. DOI
Chapitres de livre
- Amine Abouaomar, Abderrahime Filali, Afaf Taik, Soumaya Cherkaoui. (2024). Machine Learning Applications in CR-IoV. Cognitive Radio-based Internet of Vehicles. DOI
- Afaf Taik, Amine Abouaomar, Soumaya Cherkaoui. (2023). Green federated learning-based models and protocols. Green Machine Learning Protocols for Future Communication Networks. DOI
Articles de conférence
- Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Wei, Afaf Taik, Jackie Cheung, Golnoosh Farnadi. (2024). From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards. Findings of the Association for Computational Linguistics ACL 2024. DOI
- Afaf Taik, Hajar Moudoud, Soumaya Cherkaoui. (2021). Data-Quality Based Scheduling for Federated Edge Learning. 2021 IEEE 46th Conference on Local Computer Networks (LCN). DOI
- Afaf Taik, Soumaya Cherkaoui. (2020). Electrical Load Forecasting Using Edge Computing and Federated Learning. ICC 2020 - 2020 IEEE International Conference on Communications (ICC). DOI