ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.17005
  4. Cited By
Aggregating Capacity in FL through Successive Layer Training for
  Computationally-Constrained Devices

Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices

26 May 2023
Kilian Pfeiffer
R. Khalili
J. Henkel
    FedML
ArXivPDFHTML

Papers citing "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"

17 / 17 papers shown
Title
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices
Kilian Pfeiffer
Mohamed Aboelenien Ahmed
R. Khalili
J. Henkel
61
1
0
12 Nov 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
Ziru Niu
Hai Dong
•. A. K. Qin
102
2
0
18 Mar 2024
FedNet2Net: Saving Communication and Computations in Federated Learning
  with Model Growing
FedNet2Net: Saving Communication and Computations in Federated Learning with Model Growing
Amit Kumar Kundu
Joseph Jaja
FedML
53
3
0
19 Jul 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
Martin Rapp
R. Khalili
Kilian Pfeiffer
J. Henkel
65
18
0
16 Dec 2021
HeteroFL: Computation and Communication Efficient Federated Learning for
  Heterogeneous Clients
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Enmao Diao
Jie Ding
Vahid Tarokh
FedML
96
556
0
03 Oct 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching
FetchSGD: Communication-Efficient Federated Learning with Sketching
D. Rothchild
Ashwinee Panda
Enayat Ullah
Nikita Ivkin
Ion Stoica
Vladimir Braverman
Joseph E. Gonzalez
Raman Arora
FedML
70
367
0
15 Jul 2020
Dynamic Tensor Rematerialization
Dynamic Tensor Rematerialization
Marisa Kirisame
Steven Lyubomirsky
Altan Haan
Jennifer Brennan
Mike He
Jared Roesch
Tianqi Chen
Zachary Tatlock
80
93
0
17 Jun 2020
A Federated Learning Framework for Healthcare IoT devices
A Federated Learning Framework for Healthcare IoT devices
Binhang Yuan
Song Ge
Wenhui Xing
FedML
OOD
51
67
0
07 May 2020
TiFL: A Tier-based Federated Learning System
TiFL: A Tier-based Federated Learning System
Zheng Chai
Ahsan Ali
Syed Zawad
Stacey Truex
Ali Anwar
Nathalie Baracaldo
Yi Zhou
Heiko Ludwig
Feng Yan
Yue Cheng
FedML
49
279
0
25 Jan 2020
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing
  Method
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method
Bekir Sait Ciftler
A. Albaseer
Noureddine Lasla
M. Abdallah
FedML
39
25
0
07 Jan 2020
Measuring the Effects of Non-Identical Data Distribution for Federated
  Visual Classification
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
T. Hsu
Qi
Matthew Brown
FedML
140
1,150
0
13 Sep 2019
FedHealth: A Federated Transfer Learning Framework for Wearable
  Healthcare
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
Yiqiang Chen
Jindong Wang
Chaohui Yu
Wen Gao
Xin Qin
FedML
73
718
0
22 Jul 2019
Lifelong Federated Reinforcement Learning: A Learning Architecture for
  Navigation in Cloud Robotic Systems
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
Boyi Liu
Lujia Wang
Ming-Yuan Liu
74
250
0
19 Jan 2019
Applied Federated Learning: Improving Google Keyboard Query Suggestions
Applied Federated Learning: Improving Google Keyboard Query Suggestions
Timothy Yang
Galen Andrew
Hubert Eichner
Haicheng Sun
Wei Li
Nicholas Kong
Daniel Ramage
F. Beaufays
FedML
87
626
0
07 Dec 2018
LEAF: A Benchmark for Federated Settings
LEAF: A Benchmark for Federated Settings
S. Caldas
Sai Meher Karthik Duddu
Peter Wu
Tian Li
Jakub Konecný
H. B. McMahan
Virginia Smith
Ameet Talwalkar
FedML
142
1,421
0
03 Dec 2018
Forward Thinking: Building and Training Neural Networks One Layer at a
  Time
Forward Thinking: Building and Training Neural Networks One Layer at a Time
Chris Hettinger
Tanner Christensen
Ben Ehlert
J. Humpherys
Tyler J. Jarvis
Sean Wade
AI4CE
44
45
0
08 Jun 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
772
36,813
0
25 Aug 2016
1