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cs.LG2024
Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare
Suraj Racha, Shubh Gupta, Humaira Firdowse +3
Federated Learning (FL) is a pioneering approach in distributed machine learning, enabling collaborative model training across multiple clients while retaining data privacy. Howeve…
cs.LG2024
Exploring Gradient Subspaces: Addressing and Overcoming LoRA's Limitations in Federated Fine-Tuning of Large Language Models
Navyansh Mahla, Kshitij Sharad Jadhav, Ganesh Ramakrishnan
Large Language Models (LLMs) have demonstrated remarkable capabilities across various domains, particularly in task generalization for both text and vision data. While fine-tuning…