Kaustubh Ponkshe

Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning

arXiv 2025

Apertus: Democratizing Open and Compliant LLMs for Global Language Environments

arXiv 2025

ABBA: Highly Expressive Hadamard Product Adaptation for Large Language Models

arXiv 2025

Safety Subspaces are Not Distinct: A Fine-Tuning Case Study

arXiv 2025

Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning

arXiv 2024

FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models

arXiv 2024

Raghav Singhal

Praneeth Vepakomma

Rohit Vartak

Alejandro Hernández Cano

Alexander Hägele

Alexander Hoyle

Alexander Sternfeld

Alexey Tumanov

Allen Hao Huang

Ana Klimovic