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Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth
  Channel and Vulnerability

Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability

15 October 2022
Zhao-quan Song
Yitan Wang
Zheng Yu
Licheng Zhang
    FedML
ArXivPDFHTML

Papers citing "Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability"

6 / 6 papers shown
Title
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
Zhijie Chen
Qiaobo Li
A. Banerjee
FedML
28
0
0
11 Nov 2024
Fast Heavy Inner Product Identification Between Weights and Inputs in
  Neural Network Training
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training
Lianke Qin
Saayan Mitra
Zhao-quan Song
Yuanyuan Yang
Tianyi Zhou
21
0
0
19 Nov 2023
Efficient Alternating Minimization with Applications to Weighted Low
  Rank Approximation
Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation
Zhao-quan Song
Mingquan Ye
Junze Yin
Licheng Zhang
18
7
0
07 Jun 2023
Bypass Exponential Time Preprocessing: Fast Neural Network Training via
  Weight-Data Correlation Preprocessing
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing
Josh Alman
Jiehao Liang
Zhao-quan Song
Ruizhe Zhang
Danyang Zhuo
61
32
0
25 Nov 2022
Dynamic Tensor Product Regression
Dynamic Tensor Product Regression
Aravind Reddy
Zhao-quan Song
Licheng Zhang
34
20
0
08 Oct 2022
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
770
0
15 Feb 2021
1