2 papers
cs.LG2025
The More is not the Merrier: Investigating the Effect of Client Size on Federated Learning
Eleanor Wallach, Sage Siler, Jing Deng
Federated Learning (FL) has been introduced as a way to keep data local to clients while training a shared machine learning model, as clients train on their local data and send tra…
cs.DC2025
SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models
Fahao Chen, Peng Li, Tom H. Luan +2
Speculative decoding has been shown as an effective way to accelerate Large Language Model (LLM) inference by using a Small Speculative Model (SSM) to generate candidate tokens in…