2 papers
cs.LG2025
How to Evaluate Participant Contributions in Decentralized Federated Learning
Honoka Anada, Tatsuya Kaneko, Shinya Takamaeda-Yamazaki
Federated learning (FL) enables multiple clients to collaboratively train machine learning models without sharing local data. In particular, decentralized FL (DFL), where clients e…
cs.LG2025
PRIOT: Pruning-Based Integer-Only Transfer Learning for Embedded Systems
Honoka Anada, Sefutsu Ryu, Masayuki Usui +2
On-device transfer learning is crucial for adapting a common backbone model to the unique environment of each edge device. Tiny microcontrollers, such as the Raspberry Pi Pico, are…