Clustered Vehicular Federated Learning: Process and Optimization
Taik, Afaf, Mlika, Zoubeir, Cherkaoui, Soumaya
Published in IEEE transactions on intelligent transportation systems (01.12.2022)
Published in IEEE transactions on intelligent transportation systems (01.12.2022)
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Journal Article
Electrical Load Forecasting Using Edge Computing and Federated Learning
Taik, Afaf, Cherkaoui, Soumaya
Published in ICC 2020 - 2020 IEEE International Conference on Communications (ICC) (01.06.2020)
Published in ICC 2020 - 2020 IEEE International Conference on Communications (ICC) (01.06.2020)
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Conference Proceeding
Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning
Taik, Afaf, Nour, Boubakr, Cherkaoui, Soumaya
Published in IEEE wireless communications (01.12.2021)
Published in IEEE wireless communications (01.12.2021)
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Journal Article
Data-Aware Device Scheduling for Federated Edge Learning
Taik, Afaf, Mlika, Zoubeir, Cherkaoui, Soumaya
Published in IEEE transactions on cognitive communications and networking (01.03.2022)
Published in IEEE transactions on cognitive communications and networking (01.03.2022)
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Journal Article
Electrical Load Forecasting Using Edge Computing and Federated Learning
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Paper
Journal Article
Data-Quality Based Scheduling for Federated Edge Learning
Taik, Afaf, Moudoud, Hajar, Cherkaoui, Soumaya
Published in 2021 IEEE 46th Conference on Local Computer Networks (LCN) (04.10.2021)
Published in 2021 IEEE 46th Conference on Local Computer Networks (LCN) (04.10.2021)
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Conference Proceeding
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements
Molamohammadi, Maryam, Taik, Afaf, Roux, Nicolas Le, Farnadi, Golnoosh
Year of Publication 11.06.2023
Year of Publication 11.06.2023
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Journal Article
Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks
Abouaomar, Amine, Taik, Afaf, Filali, Abderrahime, Cherkaoui, Soumaya
Year of Publication 22.06.2022
Year of Publication 22.06.2022
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Journal Article
From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards
Chehbouni, Khaoula, Roshan, Megha, Ma, Emmanuel, Wei, Futian Andrew, Taik, Afaf, Cheung, Jackie CK, Farnadi, Golnoosh
Year of Publication 19.03.2024
Year of Publication 19.03.2024
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Journal Article
Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks
Abouaomar, Amine, Taik, Afaf, Filali, Abderrahime, Cherkaoui, Soumaya
Published in arXiv.org (22.12.2022)
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Published in arXiv.org (22.12.2022)
Paper