Wei Ni

Leverage Variational Graph Representation For Model Poisoning on Federated Learning

2024 · arXiv (Cornell University)

This paper puts forth a new training data-untethered model poisoning (MP) attack on federated learning (FL). The new MP attack extends an adversarial variational graph autoencoder (VGAE) to create malicious local models based solely on …

Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Models

2024 · arXiv (Cornell University)

Fine-tuning large language models (LLMs) has become essential for adapting pretrained models to specific downstream tasks. In this paper, we propose Linear Chain Transformation (LinChain), a novel approach that introduces a sequence of linear transformations …

HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems

2025 · arXiv (Cornell University)

Split federated learning (SFL) has emerged as a promising paradigm to democratize machine learning (ML) on edge devices by enabling layer-wise model partitioning. However, existing SFL approaches suffer significantly from the straggler effect due to …