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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0111 · Mar 202119922001200920172026
3 results for Proof-of-Learning

Paper introduces proof-of-learning to verify ML model training.

problem No mechanism to prove ML model training parameters were obtained through optimization.
method Inspired by proof-of-work and verified computations, introduces proof-of-learning mechanism.
result Proves model training parameters were obtained through optimization with minimal adversary work.

Proof of learning rate transfer in MLPs with μμP parameterization.

problem Understanding and optimizing learning rates in neural networks with different parameterizations.
method Theoretical analysis and empirical validation of learning rate transfer in MLPs with μμP, SP, and NTP parameterizations.
result The optimal learning rate converges to a non-zero constant as width goes to infinity under μμP, explaining learning rate transfer.

New spoofing strategies show PoL verification is more vulnerable than previously thought.

problem Vulnerability of Proof-of-Learning verification mechanisms.
method Developed new spoofing strategies that can be reproduced across different configurations and are more cost-effective.
result Current PoL verification is not robust to adversaries and requires further understanding of optimization in deep learning.