When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Metadata Tags: #Founda

HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Metadata Tags: #Hetero

RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge DistillationMetadata Authors: [[Md Akmal Haidar]], [[Nithin Anc

FedPEAT Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial

Low-Parameter Federated Learning with Large Language Models Metadata Tags: #LLM #Federated-Learning Authors: [[Jin

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated LearningMetadata Authors:

Offsite-Tuning: Transfer Learning without Full Model#LLM #Fine-tune Metadata Authors: [[Guangxuan Xiao]], [[Ji Lin]], [

DaFKD: Domain-Aware Federated Knowledge Distillation#Federated-Learning #GAN #Knowledge-Distillation #CVPR Metadata Item

FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models #LLM #Survey Metadata Authors:

Ensembled CTR Prediction via Knowledge Distillation Metadata Authors: [[Jieming Zhu]], [[Jinyang Liu]], [[Weiqi Li]],

Distilling the Knowledge in a Neural Network#LLM #Knowledge-Distillation Metadata Authors: [[Geoffrey Hinton]], [[Oriol