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Zahir Alsulaimawi
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2020 – today
- 2024
- [c7]Zahir Alsulaimawi:
Federated Learning with Privacy-Preserving Active Learning: A Min-Max Mutual Information Approach. ICAIIC 2024: 503-508 - [i5]Zahir Alsulaimawi:
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation. CoRR abs/2403.04803 (2024) - [i4]Zahir Alsulaimawi:
Federated Learning with Anomaly Detection via Gradient and Reconstruction Analysis. CoRR abs/2403.10000 (2024) - [i3]Zahir Alsulaimawi:
Securing Federated Learning with Control-Flow Attestation: A Novel Framework for Enhanced Integrity and Resilience against Adversarial Attacks. CoRR abs/2403.10005 (2024) - [i2]Zahir Alsulaimawi:
Synergizing Privacy and Utility in Data Analytics Through Advanced Information Theorization. CoRR abs/2404.16241 (2024) - [i1]Zahir Alsulaimawi:
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning. CoRR abs/2406.16035 (2024) - 2021
- [c6]Zahir Alsulaimawi, Huaping Liu:
Distributed Variational Information Bottleneck for IOT Environments. MLSP 2021: 1-6 - 2020
- [c5]Zahir Alsulaimawi:
Gaussian Privacy Protector for Online Data Communication in a Public World. BigDataSecurity/HPSC/IDS 2020: 169-173 - [c4]Zahir Alsulaimawi:
A Non-Negative Matrix Factorization Framework for Privacy-Preserving and Federated Learning. MMSP 2020: 1-6 - [c3]Zahir Alsulaimawi:
Variational Bound of Mutual Information for Fairness in Classification. MMSP 2020: 1-6 - [c2]Zahir Alsulaimawi:
A Privacy Filter Framework for Internet of Robotic Things Applications. SP (Workshops) 2020: 262-267
2010 – 2019
- 2018
- [c1]Zahir Alsulaimawi, Jinsub Kim, Thinh Nguyen:
Sequential Game Network (SEGANE) with Application to Online Data Sanitization. GlobalSIP 2018: 1326-1330
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last updated on 2024-07-17 20:35 CEST by the dblp team
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