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. 2104.05245
  4. Cited By
Distributed Learning Systems with First-order Methods

Distributed Learning Systems with First-order Methods

12 April 2021
Ji Liu
Ce Zhang
ArXivPDFHTML

Papers citing "Distributed Learning Systems with First-order Methods"

11 / 11 papers shown
Title
Ordered Momentum for Asynchronous SGD
Ordered Momentum for Asynchronous SGD
Chang-Wei Shi
Yi-Rui Yang
Wu-Jun Li
ODL
62
0
0
27 Jul 2024
SignSGD with Federated Voting
SignSGD with Federated Voting
Chanho Park
H. Vincent Poor
Namyoon Lee
FedML
40
1
0
25 Mar 2024
CEDAS: A Compressed Decentralized Stochastic Gradient Method with
  Improved Convergence
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence
Kun-Yen Huang
Shin-Yi Pu
38
9
0
14 Jan 2023
Fine-tuning Language Models over Slow Networks using Activation
  Compression with Guarantees
Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees
Jue Wang
Binhang Yuan
Luka Rimanic
Yongjun He
Tri Dao
Beidi Chen
Christopher Ré
Ce Zhang
AI4CE
24
11
0
02 Jun 2022
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against
  Object Detection
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection
Siyuan Liang
Baoyuan Wu
Yanbo Fan
Xingxing Wei
Xiaochun Cao
AAML
22
70
0
22 Jan 2022
Basis Matters: Better Communication-Efficient Second Order Methods for
  Federated Learning
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning
Xun Qian
Rustem Islamov
M. Safaryan
Peter Richtárik
FedML
24
23
0
02 Nov 2021
BAGUA: Scaling up Distributed Learning with System Relaxations
BAGUA: Scaling up Distributed Learning with System Relaxations
Shaoduo Gan
Xiangru Lian
Rui Wang
Jianbin Chang
Chengjun Liu
...
Jiawei Jiang
Binhang Yuan
Sen Yang
Ji Liu
Ce Zhang
25
30
0
03 Jul 2021
Towards Demystifying Serverless Machine Learning Training
Towards Demystifying Serverless Machine Learning Training
Jiawei Jiang
Shaoduo Gan
Yue Liu
Fanlin Wang
Gustavo Alonso
Ana Klimovic
Ankit Singla
Wentao Wu
Ce Zhang
19
121
0
17 May 2021
DataLens: Scalable Privacy Preserving Training via Gradient Compression
  and Aggregation
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation
Wei Ping
Fan Wu
Yunhui Long
Luka Rimanic
Ce Zhang
Bo-wen Li
FedML
45
63
0
20 Mar 2021
Optimal Complexity in Decentralized Training
Optimal Complexity in Decentralized Training
Yucheng Lu
Christopher De Sa
38
72
0
15 Jun 2020
Buffered Asynchronous SGD for Byzantine Learning
Buffered Asynchronous SGD for Byzantine Learning
Yi-Rui Yang
Wu-Jun Li
FedML
29
5
0
02 Mar 2020
1