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2012.07383
Cited By
Federated Learning under Importance Sampling
IEEE Transactions on Signal Processing (TSP), 2020
14 December 2020
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
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Papers citing
"Federated Learning under Importance Sampling"
27 / 27 papers shown
Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling
Yanzhao Hou
Jiaxiang Geng
Boyu Li
Xiaofeng Tao
Juncheng Wang
Xiaodong Xu
B. Luo
401
0
0
29 May 2025
Diffusion Learning with Partial Agent Participation and Local Updates
Elsa Rizk
Kun Yuan
Ali H. Sayed
291
1
0
16 May 2025
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning
Ori Peleg
Natalie Lang
Stefano Rini
Stefano Rini
Nir Shlezinger
Kobi Cohen
FedML
502
0
0
17 Mar 2025
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
Daniel Gutiérrez
David Solans
Mikko A. Heikkilä
A. Vitaletti
Nicolas Kourtellis
Aris Anagnostopoulos
I. Chatzigiannakis
OOD
488
0
0
19 Nov 2024
Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning
Zhidong Gao
Zhenxiao Zhang
Yu Zhang
Tongnian Wang
Yanmin Gong
Yuanxiong Guo
431
0
0
29 Sep 2024
Riemannian Federated Learning via Averaging Gradient Streams
Zhenwei Huang
Wen Huang
Pratik Jawanpuria
Bamdev Mishra
FedML
379
3
0
11 Sep 2024
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks
R. Saha
Mohamed Seif
M. Yemini
Andrea J. Goldsmith
H. Vincent Poor
FedML
245
6
0
06 Jun 2024
FedStale: leveraging stale client updates in federated learning
Angelo Rodio
Giovanni Neglia
FedML
338
10
0
07 May 2024
Causal Influence in Federated Edge Inference
IEEE Transactions on Signal Processing (IEEE TSP), 2024
Mert Kayaalp
Yunus Inan
V. Koivunen
Ali H. Sayed
FedML
291
4
0
02 May 2024
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks
Bing Luo
Wenli Xiao
Maroun Touma
Jianwei Huang
Leandros Tassiulas
FedML
287
17
0
22 Apr 2024
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling
Jiaxiang Geng
Yanzhao Hou
Xiaofeng Tao
Juncheng Wang
Bing Luo
FedML
326
4
0
15 Feb 2024
Digital versus Analog Transmissions for Federated Learning over Wireless Networks
Jiacheng Yao
Weihong Xu
Zhaohui Yang
Xiaohu You
M. Bennis
H. Vincent Poor
293
5
0
15 Feb 2024
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
International Conference on Learning Representations (ICLR), 2023
Maroun Touma
Mingyue Ji
FedML
497
0
0
06 Jun 2023
Dynamic Scheduling for Federated Edge Learning with Streaming Data
Chung-Hsuan Hu
Zheng Chen
Erik G. Larsson
305
7
0
02 May 2023
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
IEEE International Conference on Distributed Computing Systems (ICDCS), 2023
Bing Luo
Yutong Feng
Maroun Touma
Jianwei Huang
Leandros Tassiulas
FedML
225
23
0
17 Apr 2023
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach
IEEE Access (IEEE Access), 2023
Dan Ben Ami
Kobi Cohen
Qing Zhao
FedML
228
21
0
18 Mar 2023
On the Fusion Strategies for Federated Decision Making
Symposium on Software Performance (SP), 2023
Mert Kayaalp
Yunus Inan
V. Koivunen
E. Telatar
Ali H. Sayed
FedML
279
5
0
10 Mar 2023
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy
International Symposium on Information Theory (ISIT), 2023
R. Saha
Mohamed Seif
M. Yemini
Andrea J. Goldsmith
H. Vincent Poor
FedML
399
2
0
28 Feb 2023
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning
Marco Skocaj
Pedro Enrique Iturria-Rivera
Roberto Verdone
Melike Erol-Kantarci
184
1
0
27 Jan 2023
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling
IEEE Internet of Things Journal (IEEE IoT J.), 2022
Zheqi Zhu
Yuchen Shi
Pingyi Fan
Chenghui Peng
Khaled B. Letaief
FedML
446
25
0
05 Oct 2022
Impact of Sampling on Locally Differentially Private Data Collection
CADE (CADE), 2022
Sayan Biswas
Graham Cormode
Carsten Maple
FedML
232
0
0
02 Jun 2022
DELTA: Diverse Client Sampling for Fasting Federated Learning
Neural Information Processing Systems (NeurIPS), 2022
Lung-Chuang Wang
Yongxin Guo
Tao Lin
Xiaoying Tang
FedML
586
44
0
27 May 2022
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints
IEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Mónica Ribero
H. Vikalo
G. Veciana
FedML
397
65
0
13 May 2022
Privatized Graph Federated Learning
EURASIP Journal on Advances in Signal Processing (EURASIP J. Adv. Signal Process.), 2022
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
227
4
0
14 Mar 2022
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
IEEE Conference on Computer Communications (INFOCOM), 2021
Bing Luo
Wenli Xiao
Maroun Touma
Jianwei Huang
Leandros Tassiulas
FedML
339
238
0
21 Dec 2021
Aggregation Delayed Federated Learning
Ye Xue
Diego Klabjan
Yuan Luo
FedML
OOD
251
5
0
17 Aug 2021
A Graph Federated Architecture with Privacy Preserving Learning
International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021
Elsa Rizk
Ali H. Sayed
FedML
273
25
0
26 Apr 2021
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