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Federated LoRA with Sparse Communication

Federated LoRA with Sparse Communication

7 June 2024
Kevin Kuo
Arian Raje
Kousik Rajesh
Virginia Smith
ArXivPDFHTML

Papers citing "Federated LoRA with Sparse Communication"

10 / 10 papers shown
Title
Decentralized Low-Rank Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Mahnoosh Alizadeh
Ramtin Pedarsani
ALM
64
0
0
26 Jan 2025
Communication-Efficient and Tensorized Federated Fine-Tuning of Large
  Language Models
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Yifan Yang
Zhiyu Xue
Mahnoosh Alizadeh
Zheng Zhang
Ramtin Pedarsani
FedML
25
3
0
16 Oct 2024
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving
  Federated Low-rank Adaptation
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation
Meilu Zhu
Axiu Mao
Jun Liu
Yixuan Yuan
32
1
0
16 Oct 2024
Communication-Efficient Federated Low-Rank Update Algorithm and its
  Connection to Implicit Regularization
Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization
Haemin Park
Diego Klabjan
FedML
27
0
0
19 Sep 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation
Jie Xu
Karthikeyan P. Saravanan
Rogier van Dalen
Haaris Mehmood
David Tuckey
Mete Ozay
56
5
0
10 May 2024
Conquering the Communication Constraints to Enable Large Pre-Trained
  Models in Federated Learning
Conquering the Communication Constraints to Enable Large Pre-Trained Models in Federated Learning
Guangyu Sun
Umar Khalid
Matías Mendieta
Taojiannan Yang
C. L. P. Chen
FedML
64
13
0
04 Oct 2022
Sparse Random Networks for Communication-Efficient Federated Learning
Sparse Random Networks for Communication-Efficient Federated Learning
Berivan Isik
Francesco Pase
Deniz Gunduz
Tsachy Weissman
M. Zorzi
FedML
67
52
0
30 Sep 2022
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
162
267
0
26 Feb 2021
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
219
382
0
05 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
151
756
0
28 Sep 2019
1