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SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable
  Communications

SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications

5 April 2022
Yuzhu Mao
Zihao Zhao
Meilin Yang
Le Liang
Yang Liu
Wenbo Ding
Tian-Shing Lan
Xiaoping Zhang
    FedML
ArXiv (abs)PDFHTML

Papers citing "SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications"

10 / 10 papers shown
Title
A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control
A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control
Jinhao Ouyang
Yuan Liu
Hang Liu
65
0
0
02 Apr 2025
Unified Analysis of Decentralized Gradient Descent: a Contraction Mapping Framework
Unified Analysis of Decentralized Gradient Descent: a Contraction Mapping Framework
Erik G. Larsson
Nicolo Michelusi
139
0
0
18 Mar 2025
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
Afsaneh Mahmoudi
Ming Xiao
Emil Björnson
121
0
0
31 Dec 2024
Adaptive Quantization Resolution and Power Control for Federated
  Learning over Cell-free Networks
Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks
Afsaneh Mahmoudi
Emil Björnson
168
1
0
14 Dec 2024
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics,
  Methods, Frameworks and Future Directions
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
Daniel Gutiérrez
David Solans
Mikko A. Heikkilä
A. Vitaletti
Nicolas Kourtellis
Aris Anagnostopoulos
I. Chatzigiannakis
OOD
173
0
0
19 Nov 2024
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank,
  Task-Specific Adapter Clustering
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering
Siqi Ping
Yuzhu Mao
Yang Liu
Xiao-Ping Zhang
Wenbo Ding
FedML
83
4
0
23 Apr 2024
Advances and Open Challenges in Federated Learning with Foundation
  Models
Advances and Open Challenges in Federated Learning with Foundation Models
Chao Ren
Han Yu
Hongyi Peng
Xiaoli Tang
Anran Li
...
A. Tan
Bo Zhao
Xiaoxiao Li
Zengxiang Li
Qiang Yang
FedMLAIFinAI4CE
152
11
0
23 Apr 2024
Inclusive Data Representation in Federated Learning: A Novel Approach
  Integrating Textual and Visual Prompt
Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt
Zihao Zhao
Zhenpeng Shi
Yang Liu
Wenbo Ding
FedML
75
1
0
04 Oct 2023
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with
  Unreliable Clients
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients
Victoria Huang
S. Sohail
Michael Mayo
T. Lorido-Botran
Mark Rodrigues
Chris Anderson
Melanie Ooi
FedML
58
2
0
16 May 2023
Towards Efficient Communications in Federated Learning: A Contemporary
  Survey
Towards Efficient Communications in Federated Learning: A Contemporary Survey
Zihao Zhao
Yuzhu Mao
Yang Liu
Linqi Song
Ouyang Ye
Xinlei Chen
Wenbo Ding
FedML
112
64
0
02 Aug 2022
1