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Asynchronous Federated Optimization

Asynchronous Federated Optimization

10 March 2019
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
    FedML
ArXivPDFHTML

Papers citing "Asynchronous Federated Optimization"

50 / 101 papers shown
Title
FedDM: Iterative Distribution Matching for Communication-Efficient
  Federated Learning
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
Yuanhao Xiong
Ruochen Wang
Minhao Cheng
Felix X. Yu
Cho-Jui Hsieh
FedML
DD
50
82
0
20 Jul 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous
  Intelligence in Internet of Things: State of the Art and Future Directions
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions
Qiang Duan
Shijing Hu
Ruijun Deng
Zhihui Lu
FedML
31
61
0
20 Jul 2022
Straggler-Resilient Personalized Federated Learning
Straggler-Resilient Personalized Federated Learning
Isidoros Tziotis
Zebang Shen
Ramtin Pedarsani
Hamed Hassani
Aryan Mokhtari
FedML
36
9
0
05 Jun 2022
Federated Learning in Satellite Constellations
Federated Learning in Satellite Constellations
Bho Matthiesen
N. Razmi
Israel Leyva Mayorga
Armin Dekorsy
P. Popovski
FedML
11
43
0
01 Jun 2022
Time-triggered Federated Learning over Wireless Networks
Time-triggered Federated Learning over Wireless Networks
Xiaokang Zhou
Yansha Deng
Huiyun Xia
Shaochuan Wu
M. Bennis
FedML
37
20
0
26 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
24
88
0
11 Apr 2022
FedSynth: Gradient Compression via Synthetic Data in Federated Learning
FedSynth: Gradient Compression via Synthetic Data in Federated Learning
Shengyuan Hu
Jack Goetz
Kshitiz Malik
Hongyuan Zhan
Zhe Liu
Yue Liu
DD
FedML
40
38
0
04 Apr 2022
Asynchronous Collaborative Learning Across Data Silos
Asynchronous Collaborative Learning Across Data Silos
Tiffany Tuor
J. Lockhart
Daniele Magazzeni
FedML
37
3
0
23 Mar 2022
Computational Code-Based Privacy in Coded Federated Learning
Computational Code-Based Privacy in Coded Federated Learning
M. Xhemrishi
Alexandre Graell i Amat
E. Rosnes
Antonia Wachter-Zeh
FedML
36
4
0
28 Feb 2022
Addressing modern and practical challenges in machine learning: A survey
  of online federated and transfer learning
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning
Shuang Dai
Fanlin Meng
FedML
OnRL
40
21
0
07 Feb 2022
FedSpace: An Efficient Federated Learning Framework at Satellites and
  Ground Stations
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Jinhyun So
Kevin Hsieh
Behnaz Arzani
Shadi Noghabi
Salman Avestimehr
Ranveer Chandra
FedML
16
60
0
02 Feb 2022
Wireless-Enabled Asynchronous Federated Fourier Neural Network for
  Turbulence Prediction in Urban Air Mobility (UAM)
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)
Tengchan Zeng
Omid Semiari
Walid Saad
M. Bennis
34
3
0
26 Dec 2021
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
Martin Rapp
R. Khalili
Kilian Pfeiffer
J. Henkel
19
18
0
16 Dec 2021
Analysis and Evaluation of Synchronous and Asynchronous FLchain
Analysis and Evaluation of Synchronous and Asynchronous FLchain
F. Wilhelmi
L. Giupponi
Paolo Dini
23
5
0
15 Dec 2021
Asynchronous Semi-Decentralized Federated Edge Learning for
  Heterogeneous Clients
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jun Zhang
FedML
30
9
0
09 Dec 2021
Resource-Aware Asynchronous Online Federated Learning for Nonlinear
  Regression
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression
François Gauthier
Vinay Chakravarthi Gogineni
Stefan Werner
Yih-Fang Huang
A. Kuh
FedML
16
9
0
27 Nov 2021
Papaya: Practical, Private, and Scalable Federated Learning
Papaya: Practical, Private, and Scalable Federated Learning
Dzmitry Huba
John Nguyen
Kshitiz Malik
Ruiyu Zhu
Michael G. Rabbat
...
H. Srinivas
Kaikai Wang
Anthony Shoumikhin
Jesik Min
Mani Malek
FedML
113
137
0
08 Nov 2021
Resource-Efficient Federated Learning
Resource-Efficient Federated Learning
A. Abdelmoniem
Atal Narayan Sahu
Marco Canini
Suhaib A. Fahmy
FedML
32
53
0
01 Nov 2021
FedHe: Heterogeneous Models and Communication-Efficient Federated
  Learning
FedHe: Heterogeneous Models and Communication-Efficient Federated Learning
Chan Yun Hin
Edith C.H. Ngai
FedML
19
24
0
19 Oct 2021
Coding for Straggler Mitigation in Federated Learning
Coding for Straggler Mitigation in Federated Learning
Siddhartha Kumar
Reent Schlegel
E. Rosnes
Alexandre Graell i Amat
FedML
26
11
0
30 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu
Youyang Qu
Yong Xiang
Longxiang Gao
FedML
104
242
0
09 Sep 2021
Ground-Assisted Federated Learning in LEO Satellite Constellations
Ground-Assisted Federated Learning in LEO Satellite Constellations
N. Razmi
Bho Matthiesen
Armin Dekorsy
P. Popovski
FedML
19
79
0
03 Sep 2021
Aggregation Delayed Federated Learning
Aggregation Delayed Federated Learning
Ye Xue
Diego Klabjan
Yuan Luo
FedML
OOD
28
5
0
17 Aug 2021
Dynamic Attention-based Communication-Efficient Federated Learning
Dynamic Attention-based Communication-Efficient Federated Learning
Zihan Chen
Kai Fong Ernest Chong
Tony Q.S. Quek
FedML
50
11
0
12 Aug 2021
On Addressing Heterogeneity in Federated Learning for Autonomous
  Vehicles Connected to a Drone Orchestrator
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator
I. Donevski
J. J. Nielsen
P. Popovski
35
7
0
05 Aug 2021
Device Scheduling and Update Aggregation Policies for Asynchronous
  Federated Learning
Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning
Chung-Hsuan Hu
Zheng Chen
Erik G. Larsson
FedML
23
29
0
23 Jul 2021
Management of Resource at the Network Edge for Federated Learning
Management of Resource at the Network Edge for Federated Learning
Silvana Trindade
L. Bittencourt
N. Fonseca
22
6
0
07 Jul 2021
FLRA: A Reference Architecture for Federated Learning Systems
FLRA: A Reference Architecture for Federated Learning Systems
Sin Kit Lo
Qinghua Lu
Hye-Young Paik
Liming Zhu
FedML
AI4CE
47
24
0
22 Jun 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
33
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
35
96
0
08 Jun 2021
Wireless Federated Learning (WFL) for 6G Networks -- Part I: Research
  Challenges and Future Trends
Wireless Federated Learning (WFL) for 6G Networks -- Part I: Research Challenges and Future Trends
Pavlos S. Bouzinis
P. Diamantoulakis
G. Karagiannidis
18
48
0
24 Apr 2021
A Survey on Federated Learning and its Applications for Accelerating
  Industrial Internet of Things
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
Jiehan Zhou
Shouhua Zhang
Qinghua Lu
W. Dai
Min Chen
Xin Liu
Susanna Pirttikangas
Yang Shi
Weishan Zhang
E. Herrera-Viedma
FedML
AI4CE
23
44
0
21 Apr 2021
Sample-based and Feature-based Federated Learning for Unconstrained and
  Constrained Nonconvex Optimization via Mini-batch SSCA
Sample-based and Feature-based Federated Learning for Unconstrained and Constrained Nonconvex Optimization via Mini-batch SSCA
Ying Cui
Yangchen Li
Chencheng Ye
FedML
19
7
0
13 Apr 2021
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous
  Federated Learning
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning
Hyun-Suk Lee
Jang-Won Lee
81
53
0
02 Mar 2021
Data-Aware Device Scheduling for Federated Edge Learning
Data-Aware Device Scheduling for Federated Edge Learning
Afaf Taik
Zoubeir Mlika
Soumaya Cherkaoui
17
38
0
18 Feb 2021
Federated Learning: Opportunities and Challenges
Federated Learning: Opportunities and Challenges
P. Mammen
FedML
51
212
0
14 Jan 2021
FedAR: Activity and Resource-Aware Federated Learning Model for
  Distributed Mobile Robots
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots
Ahmed Imteaj
M. Amini
83
51
0
11 Jan 2021
Federated Learning under Importance Sampling
Federated Learning under Importance Sampling
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
18
52
0
14 Dec 2020
FederBoost: Private Federated Learning for GBDT
FederBoost: Private Federated Learning for GBDT
Zhihua Tian
Rui Zhang
Xiaoyang Hou
Jian-wei Liu
K. Ren
Jian Liu
Kui Ren
FedML
AI4CE
47
66
0
05 Nov 2020
Hogwild! over Distributed Local Data Sets with Linearly Increasing
  Mini-Batch Sizes
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
Marten van Dijk
Nhuong V. Nguyen
Toan N. Nguyen
Lam M. Nguyen
Quoc Tran-Dinh
Phuong Ha Nguyen
FedML
42
10
0
27 Oct 2020
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
26
122
0
12 Oct 2020
Distilled One-Shot Federated Learning
Distilled One-Shot Federated Learning
Yanlin Zhou
George Pu
Xiyao Ma
Xiaolin Li
D. Wu
FedML
DD
62
158
0
17 Sep 2020
Federated Edge Learning : Design Issues and Challenges
Federated Edge Learning : Design Issues and Challenges
Afaf Taik
Soumaya Cherkaoui
FedML
21
62
0
31 Aug 2020
Accelerating Federated Learning over Reliability-Agnostic Clients in
  Mobile Edge Computing Systems
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems
Wentai Wu
Ligang He
Weiwei Lin
Rui Mao
25
78
0
28 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A
  Software Engineering Perspective
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
Sin Kit Lo
Qinghua Lu
Chen Wang
Hye-Young Paik
Liming Zhu
FedML
48
83
0
22 Jul 2020
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog
  Networks
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
Vaneet Aggarwal
David J. Love
H. Dai
29
91
0
18 Jul 2020
Asynchronous Federated Learning with Reduced Number of Rounds and with
  Differential Privacy from Less Aggregated Gaussian Noise
Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise
Marten van Dijk
Nhuong V. Nguyen
Toan N. Nguyen
Lam M. Nguyen
Quoc Tran-Dinh
Phuong Ha Nguyen
FedML
16
28
0
17 Jul 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated
  Optimization
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
Jianyu Wang
Qinghua Liu
Hao Liang
Gauri Joshi
H. Vincent Poor
MoMe
FedML
16
1,297
0
15 Jul 2020
FLeet: Online Federated Learning via Staleness Awareness and Performance
  Prediction
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction
Georgios Damaskinos
R. Guerraoui
Anne-Marie Kermarrec
Vlad Nitu
Rhicheek Patra
Francois Taiani
13
54
0
12 Jun 2020
Dynamic Federated Learning
Dynamic Federated Learning
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
22
25
0
20 Feb 2020
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