Ahmed Anwar

According to our database, Ahmed Anwar authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment.

Tatjana Legler, Vinit Hegiste, Ahmed Anwar, Martin Ruskowski

CoRR, 2024

FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data.

Ahmed Anwar, Brian B. Moser, Dayananda Herurkar, Federico Raue, Vinit Hegiste, Tatjana Legler, Andreas Dengel

CoRR, 2024

Federated Learning for Blind Image Super-Resolution.

Brian B. Moser, Ahmed Anwar, Federico Raue, Stanislav Frolov, Andreas Dengel

CoRR, 2024

Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data.

Dayananda Herurkar, Sebastian Palacio, Ahmed Anwar, Jörn Hees, Andreas Dengel

CoRR, 2024

2023

Factors of Haptic Experience across Multiple Haptic Modalities.

Ahmed Anwar, Tianzheng Shi, Oliver Schneider

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2021

Tweets for Haptics.

Ahmed Anwar

Dataset, September, 2021

Towards More Effective Data Visualization Methods Using Haptics.

Rayan Isran, Katayoun Sepehri, Karthikan Theivendran, Ahmed Anwar

Proceedings of the IEEE World Haptics Conference, 2021

Analyzing QAnon on Twitter in Context of US Elections 2020: Analysis of User Messages and Profiles Using VADER and BERT Topic modeling.

Ahmed Anwar, Sardar Haider Waseem Ilyas, Ussama Yaqub, Salma Zaman

Proceedings of the DG.O'21: The 22nd Annual International Conference on Digital Government Research, 2021

2020

Analyzing Brexit's impact using sentiment analysis and topic modeling on Twitter discussion.

Sardar Haider Waseem Ilyas, Zainab Tariq Soomro, Ahmed Anwar, Hamza Shahzad, Ussama Yaqub

Proceedings of the dg.o '20: The 21st Annual International Conference on Digital Government Research, 2020

Bot detection in twitter landscape using unsupervised learning.

Ahmed Anwar, Ussama Yaqub

Proceedings of the dg.o '20: The 21st Annual International Conference on Digital Government Research, 2020