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Found 5 papers, 1 papers with code
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution
In this work, based on the key insight that the convergence process of the model is a highly predictable process, we break away from the traditional horizontal solution of defense and innovatively transform the problem of solving the optimal aggregation gradients into a vertical solution problem.
$\text{Memory}^3$: Language Modeling with Explicit Memory
The model is named $\text{Memory}^3$, since explicit memory is the third form of memory in LLMs after implicit memory (model parameters) and working memory (context key-values).
Improving Generalization and Convergence by Enhancing Implicit Regularization
In this work, we propose an Implicit Regularization Enhancement (IRE) framework to accelerate the discovery of flat solutions in deep learning, thereby improving generalization and convergence.
YOLO based Ocean Eddy Localization with AWS SageMaker
Ocean eddies play a significant role both on the sea surface and beneath it, contributing to the sustainability of marine life dependent on oceanic behaviors.
Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study
This paper explores the integration of Large Language Models (LLMs) into Automatic Speech Recognition (ASR) systems to improve transcription accuracy.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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