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Distributed Learning With Sparsified Gradient Differences

Distributed Learning With Sparsified Gradient Differences

IEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
5 February 2022
Yicheng Chen
Rick S. Blum
Martin Takáč
Brian M. Sadler
ArXiv (abs)PDFHTMLGithub

Papers citing "Distributed Learning With Sparsified Gradient Differences"

8 / 8 papers shown
Communication-Efficient Zero-Order and First-Order Federated Learning Methods over Wireless Networks
Communication-Efficient Zero-Order and First-Order Federated Learning Methods over Wireless Networks
Mohamad Assaad
Zeinab Nehme
Mérouane Debbah
156
0
0
11 Aug 2025
Temporal Predictive Coding for Gradient Compression in Distributed
  Learning
Temporal Predictive Coding for Gradient Compression in Distributed Learning
Adrian Edin
Zheng Chen
Michel Kieffer
Mikael Johansson
233
1
0
03 Oct 2024
Distributed Learning based on 1-Bit Gradient Coding in the Presence of
  Stragglers
Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers
Chengxi Li
Mikael Skoglund
391
9
0
19 Mar 2024
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
Elissa Mhanna
Mohamad Assaad
671
2
0
30 Jan 2024
AdapterDistillation: Non-Destructive Task Composition with Knowledge
  Distillation
AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation
Junjie Wang
Yicheng Chen
Wangshu Zhang
Sen Hu
Teng Xu
Jing Zheng
VLM
225
3
0
26 Dec 2023
FLECS-CGD: A Federated Learning Second-Order Framework via Compression
  and Sketching with Compressed Gradient Differences
FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences
A. Agafonov
Brahim Erraji
Martin Takáč
FedML
275
5
0
18 Oct 2022
Communication-Efficient {Federated} Learning Using Censored Heavy Ball
  Descent
Communication-Efficient {Federated} Learning Using Censored Heavy Ball DescentIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2022
Yicheng Chen
Rick S. Blum
Brian M. Sadler
FedML
244
4
0
24 Sep 2022
Edge Learning for B5G Networks with Distributed Signal Processing:
  Semantic Communication, Edge Computing, and Wireless Sensing
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless SensingIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
332
585
0
01 Jun 2022
1
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