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Sanjeda Akter

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Preprint Aug 2026

Private Anytime Selective-Risk Certification for Federated Retrieval-Augmented Generation: Guarantees and Empirical Limits

Selective-risk certificates promise that accepted outputs meet a declared error target. We develop Fed-SRC, a score-agnostic certificate for federated, differentially private, adaptively monitored retrieval-augmented generation. Clients release only Gaussian-perturbed score and loss histograms. Record-indexed and noise...

Sanjeda Akter, Ibne Farabi Shihab, Anuj Sharma · 0 citations
#machine learning Preprint Aug 2026

Task-Aware Spectral Pruning: A Mixture-of-Masks Framework for Efficient LLM Inference

Task-Aware Spectral Pruning (TASP), a post-training framework that calibrates module-level spectral descriptors against measured task-specific ablation effects, closes grouped-query-attention and SwiGLU dependencies during sparse-mask construction, and routes each user turn to one compiled mask that remains fixed throu...

Ibne Farabi Shihab, Fariya Afrin, Sanjeda Akter et al. · 0 citations
#machine learning Preprint Aug 2026

BLADE: Distilled LLM Regularization for Calibrated Knowledge Graph Completion

BLADE is presented, a variational model that separates latent truth from graph recording and distills offline language-model judgments into a frozen teacher regularizer and claims calibration only for the declared candidate distributions, not for all unobserved triples.

Ibne Farabi Shihab, Rabeya Bosri Tamanna, Abdo El Karaky et al. · 0 citations
Preprint Aug 2026

CODS: Iterative Bellman-Residual Data Selection for Reusable Offline Reinforcement Learning

CODS is introduced, a critic-guided selector that alternates between fitting an algorithm-matched critic and acquiring high-residual transitions before freezing a reusable subset, a reusable selection procedure, not a formal coreset guarantee.

Ibne Farabi Shihab, Sanjeda Akter, Abu Sa-Adat Mohamed Moon-Im Al Ahsan et al. · 0 citations

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