Cover Image

Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Udsa, Tinnakit, Udomcharoenchaikit, Can, Payoungkhamdee, Patomporn, Nutanong, Sarana, Rattanavipanon, Norrathep
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Addressing Topic Leakage in Cross-Topic Evaluation for Authorship Verification
by: Sawatphol, Jitkapat, et al.
Published: (2024)

Towards Better Understanding of Program-of-Thought Reasoning in Cross-Lingual and Multilingual Environments
by: Payoungkhamdee, Patomporn, et al.
Published: (2025)

Distilling Multilingual Vision-Language Models: When Smaller Models Stay Multilingual
by: Sriratanawilai, Sukrit, et al.
Published: (2025)

WangchanLion and WangchanX MRC Eval
by: Phatthiyaphaibun, Wannaphong, et al.
Published: (2024)

Mangosteen: An Open Thai Corpus for Language Model Pretraining
by: Phatthiyaphaibun, Wannaphong, et al.
Published: (2025)

Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models
by: Wang, Zezhou, et al.
Published: (2024)

Demystifying Verbatim Memorization in Large Language Models
by: Huang, Jing, et al.
Published: (2024)

WangchanThaiInstruct: An instruction-following Dataset for Culture-Aware, Multitask, and Multi-domain Evaluation in Thai
by: Limkonchotiwat, Peerat, et al.
Published: (2025)

Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
by: Bordt, Sebastian, et al.
Published: (2024)

Exploring Memorization in Fine-tuned Language Models
by: Zeng, Shenglai, et al.
Published: (2023)

Detecting Memorization in Large Language Models
by: Slonski, Eduardo
Published: (2024)

Elephants Never Forget: Testing Language Models for Memorization of Tabular Data
by: Bordt, Sebastian, et al.
Published: (2024)

An Evaluation on Large Language Model Outputs: Discourse and Memorization
by: de Wynter, Adrian, et al.
Published: (2023)

Skewed Memorization in Large Language Models: Quantification and Decomposition
by: Li, Hao, et al.
Published: (2025)

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts
by: Ye, Jiayuan, et al.
Published: (2026)

Exploring Scaling Laws for Local SGD in Large Language Model Training
by: He, Qiaozhi, et al.
Published: (2024)

To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
by: Barbulescu, George-Octavian, et al.
Published: (2024)

Pruning as a Defense: Reducing Memorization in Large Language Models
by: Gupta, Mansi, et al.
Published: (2025)

Mitigating Memorization In Language Models
by: Sakarvadia, Mansi, et al.
Published: (2024)

Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
by: Ma, Mingyu Derek, et al.
Published: (2025)

Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs
by: Bossy, Thierry, et al.
Published: (2025)

Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP
by: Zhang, Lihong, et al.
Published: (2025)

Localizing Paragraph Memorization in Language Models
by: Stoehr, Niklas, et al.
Published: (2024)

Sequence-Level Leakage Risk of Training Data in Large Language Models
by: Tiwari, Trishita, et al.
Published: (2024)

Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
by: Aerni, Michael, et al.
Published: (2024)

Space Decomposition for Sentence Embedding
by: Ponwitayarat, Wuttikorn, et al.
Published: (2024)

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
by: Dong, Yihong, et al.
Published: (2024)

Large Language Model Data Generation for Enhanced Intent Recognition in German Speech
by: Rosin, Theresa Pekarek, et al.
Published: (2025)

A Two-Phase Stability Study of LLM Judges and Bar Council Examiners on Thai Bar-Exam Free-Form Essays
by: Akarajaradwong, Pawitsapak, et al.
Published: (2026)

Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data
by: Wang, Xinyi, et al.
Published: (2024)

Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis
by: Li, Daoyang, et al.
Published: (2024)

Unveiling Imitation Learning: Exploring the Impact of Data Falsity to Large Language Model
by: Cho, Hyunsoo
Published: (2024)

DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models
by: Liang, Hao, et al.
Published: (2026)

Integration of Large Language Models and Federated Learning
by: Chen, Chaochao, et al.
Published: (2023)

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
by: Wang, Zhepeng, et al.
Published: (2024)

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
by: Ye, Rui, et al.
Published: (2024)

A Comparative Analysis of LLM Memorization at Statistical and Internal Levels: Cross-Model Commonalities and Model-Specific Signatures
by: Chen, Bowen, et al.
Published: (2026)

Regurgitative Training: The Value of Real Data in Training Large Language Models
by: Zhang, Jinghui, et al.
Published: (2024)

Memorization in In-Context Learning
by: Golchin, Shahriar, et al.
Published: (2024)

Federated Data-Efficient Instruction Tuning for Large Language Models
by: Qin, Zhen, et al.
Published: (2024)