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Aisha Kamara
MIT ยท Computer Science, Class of 2026
Adaptive Compression of Sparse Neural Networks for On-Device Inference at Edge Scale

We propose a novel pruning and quantization pipeline that reduces model size by 84% while preserving 97.2% of baseline accuracy on ImageNet classification tasks, enabling deployment on Class-C IoT devices.

Computer Science ML / AI Edge Computing
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Showing 12,400 papers in Computer Science
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Computer ScienceMachine Learning
Adaptive Compression of Sparse Neural Networks for On-Device Inference at Edge Scale
Aisha Kamara
Massachusetts Institute of Technology ยท Master of Engineering

We propose a novel pruning and quantization pipeline that reduces model size by 84% while preserving 97.2% of baseline accuracy on ImageNet classification tasks, enabling deployment on Class-C IoT devices with no cloud dependency.

2026
๐Ÿ“ฅ 2,840 downloads๐Ÿ“Ž 48 citationsโญ 4.9 / 5.0
Computer ScienceSecurity
Differential Privacy Mechanisms for Federated Learning in Clinical Trial Settings
Marcus Chen & Elena Vasquez
Stanford University ยท Computer Science BS / Statistics BS

We evaluate three differential privacy mechanisms โ€” Gaussian, Laplace, and randomized response โ€” for federated learning across distributed hospital networks, finding a privacy-utility Pareto frontier that enables clinically viable model training with ฮต < 1.0.

2026
๐Ÿ“ฅ 1,920 downloads๐Ÿ“Ž 31 citationsโญ 4.8 / 5.0
Machine LearningEconomics
Predicting Municipal Bond Default Risk Using Transformer Architectures: A Multi-Year Retrospective
Priya Nair
University of Chicago ยท Economics & Statistics, Class of 2025

Using 20 years of municipal bond performance data across 1,400 issuers, we fine-tune a BERT-based model on structured financial disclosures to predict default probability with 89.4% accuracy at 12-month horizons, outperforming existing logistic regression baselines by 14pp.

2025
๐Ÿ“ฅ 3,100 downloads๐Ÿ“Ž 62 citationsโญ 4.9 / 5.0
BiologyCRISPR
Off-Target Analysis of Base-Editing CRISPR Constructs in Human Hematopoietic Stem Cells via Long-Read Sequencing
Jordan Williams
Johns Hopkins University ยท Biomedical Engineering MS

We profile off-target editing events from ABE8e and CBE4max base editors in CD34+ HSCs using PacBio HiFi sequencing at 40ร— coverage, identifying 12 recurrent off-target sites not detected by short-read methods, with functional annotation of potential oncogenic implications.

2025
๐Ÿ“ฅ 1,480 downloads๐Ÿ“Ž 28 citationsโญ 4.7 / 5.0
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