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

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

30 August 2021
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
    FedML
ArXivPDFHTML

Papers citing "Private Multi-Task Learning: Formulation and Applications to Federated Learning"

11 / 11 papers shown
Title
FDLoRA: Personalized Federated Learning of Large Language Model via Dual
  LoRA Tuning
FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning
Jiaxing Qi
Zhongzhi Luan
Shaohan Huang
Carol J. Fung
Hailong Yang
Depei Qian
32
12
0
12 Jun 2024
Share Your Representation Only: Guaranteed Improvement of the
  Privacy-Utility Tradeoff in Federated Learning
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
Zebang Shen
Jiayuan Ye
Anmin Kang
Hamed Hassani
Reza Shokri
FedML
34
16
0
11 Sep 2023
Collaborative Learning From Distributed Data With Differentially Private
  Synthetic Twin Data
Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data
Lukas Prediger
Joonas Jälkö
Antti Honkela
Samuel Kaski
FedML
30
1
0
09 Aug 2023
Domain Private Transformers for Multi-Domain Dialog Systems
Domain Private Transformers for Multi-Domain Dialog Systems
Anmol Kabra
Ethan R. Elenberg
11
0
0
23 May 2023
Multi-Task Differential Privacy Under Distribution Skew
Multi-Task Differential Privacy Under Distribution Skew
Walid Krichene
Prateek Jain
Shuang Song
Mukund Sundararajan
Abhradeep Thakurta
Li Zhang
FedML
35
3
0
15 Feb 2023
On Privacy and Personalization in Cross-Silo Federated Learning
On Privacy and Personalization in Cross-Silo Federated Learning
Ziyu Liu
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FedML
22
51
0
16 Jun 2022
Straggler-Resilient Personalized Federated Learning
Straggler-Resilient Personalized Federated Learning
Isidoros Tziotis
Zebang Shen
Ramtin Pedarsani
Hamed Hassani
Aryan Mokhtari
FedML
31
9
0
05 Jun 2022
Training a Tokenizer for Free with Private Federated Learning
Training a Tokenizer for Free with Private Federated Learning
Eugene Bagdasaryan
Congzheng Song
Rogier van Dalen
M. Seigel
Áine Cahill
FedML
22
5
0
15 Mar 2022
Personalization Improves Privacy-Accuracy Tradeoffs in Federated
  Learning
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
A. Bietti
Chen-Yu Wei
Miroslav Dudík
John Langford
Zhiwei Steven Wu
FedML
20
43
0
10 Feb 2022
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
212
542
0
30 Mar 2020
Mechanism Design in Large Games: Incentives and Privacy
Michael Kearns
Mallesh M. Pai
Aaron Roth
Jonathan R. Ullman
84
182
0
17 Jul 2012
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