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Straggler-Resilient Federated Learning: Leveraging the Interplay Between
  Statistical Accuracy and System Heterogeneity

Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity

28 December 2020
Amirhossein Reisizadeh
Isidoros Tziotis
Hamed Hassani
Aryan Mokhtari
Ramtin Pedarsani
    FedML
ArXivPDFHTML

Papers citing "Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity"

17 / 17 papers shown
Title
FLIPS: Federated Learning using Intelligent Participant Selection
FLIPS: Federated Learning using Intelligent Participant Selection
R. Bhope
K. R. Jayaram
N. Venkatasubramanian
Ashish Verma
Gegi Thomas
FedML
29
3
0
07 Aug 2023
Towards Practical Few-shot Federated NLP
Towards Practical Few-shot Federated NLP
Dongqi Cai
Yaozong Wu
Haitao Yuan
Shangguang Wang
F. Lin
Mengwei Xu
FedML
23
6
0
01 Dec 2022
GradSkip: Communication-Accelerated Local Gradient Methods with Better
  Computational Complexity
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity
A. Maranjyan
M. Safaryan
Peter Richtárik
32
13
0
28 Oct 2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation
  for Wireless Federated Learning
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning
Liang Yu
Xiang Sun
Rana Albelaihi
Chen Yi
FedML
24
13
0
19 Oct 2022
STSyn: Speeding Up Local SGD with Straggler-Tolerant Synchronization
STSyn: Speeding Up Local SGD with Straggler-Tolerant Synchronization
Feng Zhu
Jingjing Zhang
Xin Eric Wang
26
3
0
06 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning
PersA-FL: Personalized Asynchronous Federated Learning
Taha Toghani
Soomin Lee
César A. Uribe
FedML
32
6
0
03 Oct 2022
Flexible Vertical Federated Learning with Heterogeneous Parties
Flexible Vertical Federated Learning with Heterogeneous Parties
Timothy Castiglia
Shiqiang Wang
S. Patterson
FedML
22
34
0
26 Aug 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
Multi-Task Distributed Learning using Vision Transformer with Random
  Patch Permutation
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation
Sangjoon Park
Jong Chul Ye
FedML
MedIm
42
19
0
07 Apr 2022
Federated Optimization of Smooth Loss Functions
Federated Optimization of Smooth Loss Functions
Ali Jadbabaie
A. Makur
Devavrat Shah
FedML
19
7
0
06 Jan 2022
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
184
411
0
14 Jul 2021
Federated Learning with Buffered Asynchronous Aggregation
Federated Learning with Buffered Asynchronous Aggregation
John Nguyen
Kshitiz Malik
Hongyuan Zhan
Ashkan Yousefpour
Michael G. Rabbat
Mani Malek
Dzmitry Huba
FedML
21
288
0
11 Jun 2021
Fast Federated Learning in the Presence of Arbitrary Device
  Unavailability
Fast Federated Learning in the Presence of Arbitrary Device Unavailability
Xinran Gu
Kaixuan Huang
Jingzhao Zhang
Longbo Huang
FedML
22
94
0
08 Jun 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity
  and Sparse Gradients
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
A. Mitra
Rayana H. Jaafar
George J. Pappas
Hamed Hassani
FedML
55
157
0
14 Feb 2021
FedAT: A High-Performance and Communication-Efficient Federated Learning
  System with Asynchronous Tiers
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
Zheng Chai
Yujing Chen
Ali Anwar
Liang Zhao
Yue Cheng
Huzefa Rangwala
FedML
8
121
0
12 Oct 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
165
760
0
28 Sep 2019
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,685
0
14 Apr 2018
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