2 papers
cs.AI2026
Federated Inference: Toward Privacy-Preserving Collaborative and Incentivized Model Serving
Jungwon Seo, Ferhat Ozgur Catak, Chunming Rong +1
Federated Inference (FI) studies how independently trained and privately owned models can collaborate at inference time without sharing data or model parameters. While recent work…
cs.CR2022
Efficient and Privacy Preserving Group Signature for Federated Learning
Sneha Kanchan, Jae Won Jang, Jun Yong Yoon +1
Federated Learning (FL) is a Machine Learning (ML) technique that aims to reduce the threats to user data privacy. Training is done using the raw data on the users' device, called…