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2011.07179
Cited By

A Theoretical Perspective on Differentially Private Federated Multi-task
Learning

A Theoretical Perspective on Differentially Private Federated Multi-task Learning

14 November 2020

ArXiv (abs)PDF HTML

Papers citing "A Theoretical Perspective on Differentially Private Federated Multi-task Learning"

7 / 7 papers shown

FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models

FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models

189

1

0

07 Aug 2025

CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models

CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models

422

3

0

22 May 2024

A Theoretical Analysis of Efficiency Constrained Utility-Privacy
Bi-Objective Optimization in Federated Learning

A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning

Hanlin Gu

283

2

0

27 Dec 2023

A New Dimensionality Reduction Method Based on Hensel's Compression for
Privacy Protection in Federated Learning

A New Dimensionality Reduction Method Based on Hensel's Compression for Privacy Protection in Federated LearningInternational Conference on Computing, Networking and Communications (ICNC), 2022

Ahmed El Ouadrhiri

Ahmed M Abdelhadi

183

7

0

01 May 2022

An Energy Consumption Model for Electrical Vehicle Networks via Extended
Federated-learning

An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning

278

7

0

13 Nov 2021

Private Multi-Task Learning: Formulation and Applications to Federated
Learning

Private Multi-Task Learning: Formulation and Applications to Federated Learning

Zhiwei Steven Wu

330

23

0

30 Aug 2021

FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning

FedAUX: Leveraging Unlabeled Auxiliary Data in Federated LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021

275

149

0

04 Feb 2021

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