Curriculum Temperature for Knowledge DistillationMetadata AAAI 2023 Authors: [[Zheng Li]], [[Xiang Li]], [[Lingfeng Yang

Swing Distillation: A Privacy-Preserving Knowledge Distillation FrameworkMetadata Authors: [[Junzhuo Li]], [[Xinwei Wu]]

Knowledge Distillation: A SurveyMetadata Item Type: [[Article]] Authors: [[Jianping Gou]], [[Baosheng Yu]], [[Stephen J.

DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass Metadata Tags: #Di

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