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Conference paper
Preprint
Date
2023
2022
2021
2020
K. Mohammadi
,
A. Sivaraman
,
G. Farnadi
(2023).
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks
.
K. Mohammadi
,
H. Zhao
,
M. Zhai
,
F. Tung
(2023).
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
.
K. Mohammadi
,
A. Sivaraman
,
G. Farnadi
(2022).
Post-processing Counterexample-guided Fairness Guarantees in Neural Networks
. AAAI CLeaR Workshop, 2022.
A. Taïk
,
Z. Mlika
,
S. Cherkaoui
(2022).
Clustered Vehicular Federated Learning: Process and Optimization
. IEEE Transactions on Intelligent Transportation Systems.
K. Mohammadi
,
A. Karimi
,
G. Barthe
,
I. Valera
(2021).
Scaling Guarantees for Nearest Counterfactual Explanations
. AAAI/ACM Conference on AI, Ethics, and Society, 2021.
N. Neophytou
(2021).
Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness
.
PDF
A. Taïk
,
B. Nour
,
S. Cherkaoui
(2021).
Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning
. IEEE Wireless Communications.
A. Taïk
,
H. Moudoud and S. Cherkaoui
(2021).
Data-Quality Based Scheduling for Federated Edge Learning
. LCN 2021.
A. Taïk
,
Z. Mlika
,
S. Cherkaoui
(2021).
Data-Aware Device Scheduling for Federated Edge Learning
. IEEE Transactions on Cognitive Communications and Networking.
A. Taïk
,
S. Cherkaoui
(2020).
Federated Edge Learning: Design Issues and Challenges
. IEEE Network.
A. Asadi
,
K. Chatterjee
,
A.K. Goharshady
,
K. Mohammadi
,
A. Pavlogiannis
(2020).
Faster Algorithms for Quantitative Analysis of MCs and MDPs with Small Treewidth
. ATVA 2020.
A. Taïk and S. Cherkaoui
(2020).
Electrical Load Forecasting Using Edge Computing and Federated Learning
. ICC.
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