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Lottery Hypothesis based Unsupervised Pre-training for Model Compression
in Federated Learning

Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning

IEEE Vehicular Technology Conference (VTC), 2020

21 April 2020

Takayuki Nishio

ArXiv (abs)PDF HTML

Papers citing "Lottery Hypothesis based Unsupervised Pre-training for Model Compression in Federated Learning"

5 / 5 papers shown

A Survey of Lottery Ticket Hypothesis

A Survey of Lottery Ticket Hypothesis

286

22

0

07 Mar 2024

FedSSA: Semantic Similarity-based Aggregation for Efficient
Model-Heterogeneous Personalized Federated Learning

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023

476

15

0

14 Dec 2023

Efficient Federated Learning with Enhanced Privacy via Lottery Ticket
Pruning in Edge Computing

Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge ComputingIEEE Transactions on Mobile Computing (IEEE TMC), 2023

Li Shen

Jun Li

272

8

0

02 May 2023

AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning

AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated LearningMicro (MICRO), 2021

263

107

0

16 Jul 2021

Distillation-Based Semi-Supervised Federated Learning for
Communication-Efficient Collaborative Training with Non-IID Private Data

Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data

Takayuki Nishio

312

331

0

14 Aug 2020

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