归档: 2023/10

2023

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Metadata Tags: #Personalizaion #Knowledge-Distillation Authors: [[Huancheng Chen]], [[Chianing Wang]], [[Haris Vikalo]

2023-10-31 ICLR 2023

Knowledge Distillation Personalization

22

A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated LearningMetadata Item Type: [[Conference paper]]

2023-10-22 INFOCOM 2023

Federated Learning Transfer Learning

20

PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization Metadata Tags: #Personalization Au

2023-10-20 Proceedings of the Web Conference 2021

Personalization Privacy Preserving

17

Parameter-Efficient Transfer Learning for NLP Metadata Tags: #TransferLearning #Adapter Authors: [[Neil Houlsby]],

2023-10-17 PMLR 2019

Fine Tune Transfer Learning

15

SplitFed: When Federated Learning Meets Split Learning Metadata Tags: #/unread Authors: [[Chandra Thapa]], [[

2023-10-15 AAAI 2023

Federated Learning Split Learning

10

Just Fine-tune Twice: Selective Differential Privacy for Large Language Models Metadata Tags: #Computer-Science—Artif

2023-10-10 arXiv 2022

LLM Fine Tune Differential Privacy

05

BERT-of-Theseus: Compressing BERT by Progressive Module Replacing Metadata Tags: #Bert #Compression Authors: [[Can

2023-10-05 arXiv 2020

LLM Bert Fine Tune

01

SplitNN-driven Vertical Partitioning Metadata Tags: #/unread, #Computer-Science—Machine-Learning, #Statistics—Ma

2023-10-01 arXiv 2020

Split Learning Partition