activity
20212026
most citedFATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models

33 citations · 147 across the 38 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.LG2026

FUSE: Fairness-aware Update Screening against Byzantine Exploitation in -Fair Federated Learning

Tiantong Sun, Jinlin Liu, Xingru Wei +4

Client-level fair federated learning, in the form of -fair federated learning (-FFL), agnostic federated learning, or tilted empirical risk minimization, has emerged as an at…

cs.LG2026

FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Client

Gongxi Zhu, Hanlin Gu, Lixin Fan +2

One important direction of Federated Foundation Models (FedFMs) is leveraging data from small client models to enhance the performance of a large server-side foundation model. Exis…