Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization.

@inproceedings{spadea-2025-federated, author = {Fernando Spadea and Oshani Seneviratne}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Federated Fine-Tuning of Large Language Models: Kahneman-Tversky vs. Direct Preference Optimization}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}}, pages = {1757--1760}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701716.3717647}, doi = {https://doi.org/10.1145/3701716.3717647} }