3 citations · 3 across the 4 of their papers we have counts for
4 papers
Technical note on Fisher Information for Robust Federated Cross-Validation
Behraj Khan, Tahir Qasim Syed
When training data are fragmented across batches or federated-learned across different geographic locations, trained models manifest performance degradation. That degradation partl…
Adapting to Fragmented and Evolving Data: A Fisher Information Perspective
Behraj Khan, Tahir Qasim Syed, Nouman Muhammad Durrani
Modern machine learning systems operating in dynamic environments often face \textit{sequential covariate shift} (SCS), where input distributions evolve over time while the conditi…
Mitigating covariate shift in non-colocated data with learned parameter priors
Behraj Khan, Behroz Mirza, Nouman Durrani +1
When training data are distributed across{ time or space,} covariate shift across fragments of training data biases cross-validation, compromising model selection and assessment. W…
Textual analysis of End User License Agreement for red-flagging potentially malicious software
Behraj Khan, Tahir Syed, Zeshan Khan +1
New software and updates are downloaded by end users every day. Each dowloaded software has associated with it an End Users License Agreements (EULA), but this is rarely read. An E…