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2020 – today
- 2024
[c5]Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi
:
Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread. AAAI 2024: 22285-22293- [c4]Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Andrew Wei, Afaf Taïk, Jackie Chi Kit Cheung, Golnoosh Farnadi:
From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards. ACL (Findings) 2024: 15694-15710 - [i12]Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi:
Promoting Fair Vaccination Strategies Through Influence Maximization: A Case Study on COVID-19 Spread. CoRR abs/2403.05564 (2024) - [i11]Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Andrew Wei, Afaf Taïk, Jackie C. K. Cheung, Golnoosh Farnadi:
From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards. CoRR abs/2403.13213 (2024) - [i10]Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi:
Fairness Incentives in Response to Unfair Dynamic Pricing. CoRR abs/2404.14620 (2024) - [i9]Saber Malekmohammadi, Afaf Taïk, Golnoosh Farnadi:
Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering. CoRR abs/2405.19272 (2024) - 2023
- [j5]Amine Abouaomar, Afaf Taïk, Abderrahime Filali, Soumaya Cherkaoui:
Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks. IEEE Commun. Mag. 61(2): 126-132 (2023) - [c3]Maryam Molamohammadi, Afaf Taïk, Nicolas Le Roux, Golnoosh Farnadi:
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements. EAAMO 2023: 33:1-33:12 - [i8]Maryam Molamohammadi, Afaf Taïk, Nicolas Le Roux, Golnoosh Farnadi:
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements. CoRR abs/2306.10043 (2023) - 2022
- [j4]Afaf Taïk, Zoubeir Mlika, Soumaya Cherkaoui:
Data-Aware Device Scheduling for Federated Edge Learning. IEEE Trans. Cogn. Commun. Netw. 8(1): 408-421 (2022) - [j3]Afaf Taïk, Zoubeir Mlika, Soumaya Cherkaoui:
Clustered Vehicular Federated Learning: Process and Optimization. IEEE Trans. Intell. Transp. Syst. 23(12): 25371-25383 (2022) - [i7]Afaf Taïk, Hajar Moudoud, Soumaya Cherkaoui:
Data-Quality Based Scheduling for Federated Edge Learning. CoRR abs/2201.11247 (2022) - [i6]Afaf Taïk, Soumaya Cherkaoui:
Electrical Load Forecasting Using Edge Computing and Federated Learning. CoRR abs/2201.11248 (2022) - [i5]Afaf Taïk, Zoubeir Mlika, Soumaya Cherkaoui:
Clustered Vehicular Federated Learning: Process and Optimization. CoRR abs/2201.11271 (2022) - [i4]Amine Abouaomar, Afaf Taïk, Abderrahime Filali, Soumaya Cherkaoui:
Federated Learning for RAN Slicing in Beyond 5G Networks. CoRR abs/2206.11328 (2022) - 2021
- [j2]Afaf Taïk, Soumaya Cherkaoui:
Federated Edge Learning: Design Issues and Challenges. IEEE Netw. 35(2): 252-258 (2021) - [j1]Afaf Taïk, Boubakr Nour, Soumaya Cherkaoui:
Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning. IEEE Wirel. Commun. 28(6): 26-33 (2021) - [c2]Afaf Taïk, Hajar Moudoud, Soumaya Cherkaoui:
Data-Quality Based Scheduling for Federated Edge Learning. LCN 2021: 17-23 - [i3]Afaf Taïk, Zoubeir Mlika, Soumaya Cherkaoui:
Data-Aware Device Scheduling for Federated Edge Learning. CoRR abs/2102.09491 (2021) - [i2]Afaf Taïk, Boubakr Nour, Soumaya Cherkaoui:
Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning. CoRR abs/2104.03169 (2021) - 2020
- [c1]Afaf Taïk, Soumaya Cherkaoui:
Electrical Load Forecasting Using Edge Computing and Federated Learning. ICC 2020: 1-6 - [i1]Afaf Taïk, Soumaya Cherkaoui:
Federated Edge Learning : Design Issues and Challenges. CoRR abs/2009.00081 (2020)
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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