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Robust and Communication-Efficient Collaborative Learning

Robust and Communication-Efficient Collaborative Learning

24 July 2019
Amirhossein Reisizadeh
Hossein Taheri
Aryan Mokhtari
Hamed Hassani
Ramtin Pedarsani
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Papers citing "Robust and Communication-Efficient Collaborative Learning"

13 / 13 papers shown
Title
Straggler-Resilient Differentially-Private Decentralized Learning
Straggler-Resilient Differentially-Private Decentralized Learning
Yauhen Yakimenka
Chung-Wei Weng
Hsuan-Yin Lin
E. Rosnes
J. Kliewer
29
6
0
06 Dec 2022
Flexible Vertical Federated Learning with Heterogeneous Parties
Flexible Vertical Federated Learning with Heterogeneous Parties
Timothy Castiglia
Shiqiang Wang
S. Patterson
FedML
34
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
33
9
0
05 Jun 2022
Lightweight Projective Derivative Codes for Compressed Asynchronous
  Gradient Descent
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
Pedro Soto
Ilia Ilmer
Haibin Guan
Jun Li
29
3
0
31 Jan 2022
Decentralized Composite Optimization with Compression
Decentralized Composite Optimization with Compression
Yao Li
Xiaorui Liu
Jiliang Tang
Ming Yan
Kun Yuan
24
9
0
10 Aug 2021
Communication Efficiency in Federated Learning: Achievements and
  Challenges
Communication Efficiency in Federated Learning: Achievements and Challenges
Osama Shahid
Seyedamin Pouriyeh
R. Parizi
Quan Z. Sheng
Gautam Srivastava
Liang Zhao
FedML
40
74
0
23 Jul 2021
Coded Gradient Aggregation: A Tradeoff Between Communication Costs at
  Edge Nodes and at Helper Nodes
Coded Gradient Aggregation: A Tradeoff Between Communication Costs at Edge Nodes and at Helper Nodes
B. Sasidharan
Anoop Thomas
28
9
0
06 May 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
On the Benefits of Multiple Gossip Steps in Communication-Constrained
  Decentralized Optimization
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization
Abolfazl Hashemi
Anish Acharya
Rudrajit Das
H. Vikalo
Sujay Sanghavi
Inderjit Dhillon
20
7
0
20 Nov 2020
Periodic Stochastic Gradient Descent with Momentum for Decentralized
  Training
Periodic Stochastic Gradient Descent with Momentum for Decentralized Training
Hongchang Gao
Heng-Chiao Huang
20
25
0
24 Aug 2020
Federated Learning with Compression: Unified Analysis and Sharp
  Guarantees
Federated Learning with Compression: Unified Analysis and Sharp Guarantees
Farzin Haddadpour
Mohammad Mahdi Kamani
Aryan Mokhtari
M. Mahdavi
FedML
33
271
0
02 Jul 2020
Gradient Descent with Compressed Iterates
Gradient Descent with Compressed Iterates
Ahmed Khaled
Peter Richtárik
21
22
0
10 Sep 2019
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in
  Distributed SGD
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD
Sanghamitra Dutta
Gauri Joshi
Soumyadip Ghosh
Parijat Dube
P. Nagpurkar
22
193
0
03 Mar 2018
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