Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Prajwal Panth

Prajwal Panth

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Crypto×3Distributed×1AI×1Math Software×1ML×1Quantum Physics×1

Frequent co-authors

Nishant Nigam1×
Jaydeep Rath1×
P. S. N. Bhaskar1×

Research Timeline

2026
Quantum Bit Error Rate Analysis in BB84 Quantum Key Distribution: Measurement, Statistical Estimation, and Eavesdropping Detection

This paper systematically analyzes the Quantum Bit Error Rate (QBER) in the BB84 Quantum Key Distribution protocol, demonstrating its use for quantifying channel noise and detecting eavesdropping, particularly showing a near-linear relationship between eavesdropping intensity and QBER.

Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection

The paper introduces Dynamic Sharded Federated Learning (DSFL), a secure aggregation framework that significantly reduces communication overhead and enhances update verification for cross-institution financial fraud detection.

Secure and Parallel Determinant Computation for Large-Scale Matrices in Edge Environments

The paper proposes a Secure Parallel Determinant Computation (SPDC) framework that enables efficient, privacy-preserving, and scalable matrix determinant calculation across multiple untrusted edge servers.

Highlighted terms show continued research focus across papers

Papers

cs.DCcs.AIcs.CRRecentMay 21, 2026

Secure and Parallel Determinant Computation for Large-Scale Matrices in Edge Environments

Prajwal Panth

The paper proposes a Secure Parallel Determinant Computation (SPDC) framework that enables efficient, privacy-preserving, and scalable matrix determinant calculation across multiple untrusted edge ser…

View →
cs.CRcs.LGRecentApr 25, 2026

Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection

Prajwal Panth, Nishant Nigam

The paper introduces Dynamic Sharded Federated Learning (DSFL), a secure aggregation framework that significantly reduces communication overhead and enhances update verification for cross-institution…

View →
quant-phcs.CRRecentMar 28, 2026

Quantum Bit Error Rate Analysis in BB84 Quantum Key Distribution: Measurement, Statistical Estimation, and Eavesdropping Detection

Jaydeep Rath, Prajwal Panth, P. S. N. Bhaskar

This paper systematically analyzes the Quantum Bit Error Rate (QBER) in the BB84 Quantum Key Distribution protocol, demonstrating its use for quantifying channel noise and detecting eavesdropping, par…

View →