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Mohammad Naseri

2 accepted papers

2025

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models

NeurIPS 2025poster

Large Language Models (LLMs) have achieved state-of-the-art results across diverse domains, yet their development remains reliant on vast amounts of publicly available data, raising concerns about data scarcity and the lack of access to domain-specific, sensitive information. Federated Learning (FL)…

Cited by 0SourceScholar
2023

Bayesian Estimation of Differential Privacy

ICML 2023poster

Algorithms such as Differentially Private SGD enable training machine learning models with formal privacy guarantees. However, because these guarantees hold with respect to unrealistic adversaries, the protection afforded against practical attacks is typically much better. An emerging strand of work…