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

33 citations · 33 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2025

Contrastive Representation Learning for Robust Sim-to-Real Transfer of Adaptive Humanoid Locomotion

Yidan Lu, Rurui Yang, Qiran Kou +5

Reinforcement learning has produced remarkable advances in humanoid locomotion, yet a fundamental dilemma persists for real-world deployment: policies must choose between the robus…

cs.LG2023★ 33 cited

FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models

Tao Fan, Yan Kang, Guoqiang Ma +4

Large Language Models (LLMs), such as ChatGPT, LLaMA, GLM, and PaLM, have exhibited remarkable performances across various tasks in recent years. However, LLMs face two main challe…