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FLeet: Online Federated Learning via Staleness Awareness and Performance
  Prediction

FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction

12 June 2020
Georgios Damaskinos
R. Guerraoui
Anne-Marie Kermarrec
Vlad Nitu
Rhicheek Patra
Francois Taiani
ArXivPDFHTML

Papers citing "FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction"

26 / 26 papers shown
Title
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
Yun Xin
Jianfeng Lu
Shuqin Cao
Gang Li
Haozhao Wang
Guanghui Wen
FedML
37
0
0
09 May 2025
Personalized Federated Learning with Mixture of Models for Adaptive
  Prediction and Model Fine-Tuning
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning
P. M. Ghari
Yanning Shen
FedML
28
1
0
28 Oct 2024
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov
  Optimization Approach
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach
Chung-Hsuan Hu
Zheng Chen
Erik G. Larsson
39
2
0
20 May 2024
Dynamic Client Clustering, Bandwidth Allocation, and Workload
  Optimization for Semi-synchronous Federated Learning
Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning
Liang Yu
Xiang Sun
Rana Albelaihi
Chaeeun Park
Sihua Shao
FedML
50
1
0
11 Mar 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning
Budgeted Online Model Selection and Fine-Tuning via Federated Learning
P. M. Ghari
Yanning Shen
FedML
50
1
0
19 Jan 2024
Decentralized Personalized Online Federated Learning
Decentralized Personalized Online Federated Learning
Renzhi Wu
Saayan Mitra
Xiang Chen
Anup Rao
FedML
29
2
0
08 Nov 2023
Timely Asynchronous Hierarchical Federated Learning: Age of Convergence
Timely Asynchronous Hierarchical Federated Learning: Age of Convergence
Purbesh Mitra
Sennur Ulukus
FedML
27
0
0
21 Jun 2023
Dynamic Scheduling for Federated Edge Learning with Streaming Data
Dynamic Scheduling for Federated Edge Learning with Streaming Data
Chung-Hsuan Hu
Zheng Chen
Erik G. Larsson
24
4
0
02 May 2023
Decentralized Learning Made Practical with Client Sampling
Decentralized Learning Made Practical with Client Sampling
M. Vos
Akash Dhasade
Anne-Marie Kermarrec
Erick Lavoie
J. Pouwelse
Rishi Sharma
29
1
0
27 Feb 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with
  Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
Qiong Wu
Xu Chen
Ouyang Tao
Zhi Zhou
Xiaoxi Zhang
Shusen Yang
Junshan Zhang
37
44
0
16 Jan 2023
Federated Learning for Data Streams
Federated Learning for Data Streams
Othmane Marfoq
Giovanni Neglia
Laetitia Kameni
Richard Vidal
FedML
34
12
0
04 Jan 2023
Graph Federated Learning for CIoT Devices in Smart Home Applications
Graph Federated Learning for CIoT Devices in Smart Home Applications
Arash Rasti-Meymandi
S. M. Sheikholeslami
J. Abouei
Konstantinos N. Plataniotis
FedML
27
18
0
29 Dec 2022
FedLesScan: Mitigating Stragglers in Serverless Federated Learning
FedLesScan: Mitigating Stragglers in Serverless Federated Learning
M. Elzohairy
Mohak Chadha
Anshul Jindal
Andreas Grafberger
Jiatao Gu
Michael Gerndt
Osama Abboud
FedML
26
7
0
10 Nov 2022
Client Selection in Federated Learning: Principles, Challenges, and
  Opportunities
Client Selection in Federated Learning: Principles, Challenges, and Opportunities
Lei Fu
Huan Zhang
Ge Gao
Mi Zhang
Xin Liu
FedML
37
118
0
03 Nov 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
32
13
0
19 Oct 2022
Scheduling Algorithms for Federated Learning with Minimal Energy
  Consumption
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption
L. Pilla
26
15
0
13 Sep 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
Location Leakage in Federated Signal Maps
Location Leakage in Federated Signal Maps
Evita Bakopoulou
Justin Ley
Jiang Zhang
Konstantinos Psounis
A. Markopoulou
FedML
20
5
0
07 Dec 2021
Resource-Efficient Federated Learning
Resource-Efficient Federated Learning
A. Abdelmoniem
Atal Narayan Sahu
Marco Canini
Suhaib A. Fahmy
FedML
32
55
0
01 Nov 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d.
  Environments
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
Joost Verbraeken
M. Vos
J. Pouwelse
31
4
0
21 Oct 2021
Towards General-purpose Infrastructure for Protecting Scientific Data
  Under Study
Towards General-purpose Infrastructure for Protecting Scientific Data Under Study
Andrew Trask
Kritika Prakash
41
3
0
04 Oct 2021
Federated Neural Collaborative Filtering
Federated Neural Collaborative Filtering
V. Perifanis
P. Efraimidis
FedML
15
92
0
02 Jun 2021
Personalized Semi-Supervised Federated Learning for Human Activity
  Recognition
Personalized Semi-Supervised Federated Learning for Human Activity Recognition
Riccardo Presotto
Gabriele Civitarese
Claudio Bettini
34
65
0
15 Apr 2021
Timely Communication in Federated Learning
Timely Communication in Federated Learning
Baturalp Buyukates
S. Ulukus
FedML
40
39
0
31 Dec 2020
Optimal Task Assignment to Heterogeneous Federated Learning Devices
Optimal Task Assignment to Heterogeneous Federated Learning Devices
L. Pilla
FedML
9
26
0
01 Oct 2020
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
1,688
0
14 Apr 2018
1