Zikai Zhang

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

2025

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, …

Traceable Black-box Watermarks for Federated Learning

2025 · arXiv (Cornell University)

Due to the distributed nature of Federated Learning (FL) systems, each local client has access to the global model, which poses a critical risk of model leakage. Existing works have explored injecting watermarks into local …