1 code implementation • 5 Jan 2022 • Jaemin Shin, Yuanchun Li, Yunxin Liu, Sung-Ju Lee
Federated Learning (FL) trains a machine learning model on distributed clients without exposing individual data.
1 code implementation • 9 May 2023 • Harshit Daga, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee, Ramana Rao Kompella
We present Flame, a new system that provides flexibility of the topology configuration of distributed FL applications around the specifics of a particular deployment context, and is easily extensible to support new FL architectures.
no code implementations • 25 Oct 2023 • Jaemin Shin, Hyungjun Yoon, SeungJoo Lee, Sungjoon Park, Yunxin Liu, Jinho D. Choi, Sung-Ju Lee
Psychiatrists diagnose mental disorders via the linguistic use of patients.
no code implementations • 26 Mar 2024 • Gustav A. Baumgart, Jaemin Shin, Ali Payani, Myungjin Lee, Ramana Rao Kompella
(3) However, algorithms such as FedDyn and SCAFFOLD are more prone to catastrophic failures without the support of additional techniques such as gradient clipping.