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  3. 2011.09359
  4. Cited By
FLaaS: Federated Learning as a Service

FLaaS: Federated Learning as a Service

18 November 2020
N. Kourtellis
Kleomenis Katevas
Diego Perino
    FedML
ArXiv (abs)PDFHTML

Papers citing "FLaaS: Federated Learning as a Service"

20 / 20 papers shown
RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models
  in FLaaS
RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models in FLaaSInternational Conference on Web Services (ICWS), 2024
Shuaijun Chen
Omid Tavallaie
Niousha Nazemi
Albert Y. Zomaya
270
11
0
16 Aug 2024
Federated Learning as a Service for Hierarchical Edge Networks with
  Heterogeneous Models
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models
Wentao Gao
Omid Tavallaie
Shuaijun Chen
Albert Zomaya
FedML
267
13
0
30 Jul 2024
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated
  Learning as a Service
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service
Yu Liu
Zibo Wang
Yifei Zhu
Chen Chen
FedML
186
8
0
15 Feb 2024
Multi-Criteria Client Selection and Scheduling with Fairness Guarantee
  for Federated Learning Service
Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service
Meiying Zhang
Huan Zhao
Sheldon C Ebron
Ruitao Xie
Kan Yang
179
3
0
05 Dec 2023
Zero-touch realization of Pervasive Artificial Intelligence-as-a-service
  in 6G networks
Zero-touch realization of Pervasive Artificial Intelligence-as-a-service in 6G networksIEEE Communications Magazine (IEEE Commun. Mag.), 2023
Emna Baccour
Mhd Saria Allahham
A. Erbad
Amr M. Mohamed
Ahmed Refaey Hussein
Mounir Hamdi
155
27
0
21 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from
  Technical and Legal Perspectives
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
493
5
0
05 Jul 2023
Poster: Sponge ML Model Attacks of Mobile Apps
Poster: Sponge ML Model Attacks of Mobile AppsWorkshop on Mobile Computing Systems and Applications (HotMobile), 2023
Souvik Paul
N. Kourtellis
125
4
0
01 Mar 2023
P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless
  Setups
P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups
Ioannis Arapakis
P. Papadopoulos
Kleomenis Katevas
Diego Perino
170
10
0
26 Feb 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive
  Survey
Topology-aware Federated Learning in Edge Computing: A Comprehensive SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Jiajun Wu
Steve Drew
Fan Dong
Zhuangdi Zhu
Jiayu Zhou
FedML
334
109
0
06 Feb 2023
Auxo: Efficient Federated Learning via Scalable Client Clustering
Auxo: Efficient Federated Learning via Scalable Client ClusteringACM Symposium on Cloud Computing (SoCC), 2022
Jiachen Liu
Fan Lai
Yinwei Dai
Aditya Akella
H. Madhyastha
Mosharaf Chowdhury
388
14
0
29 Oct 2022
Privacy-Preserving Online Content Moderation: A Federated Learning Use
  Case
Privacy-Preserving Online Content Moderation: A Federated Learning Use CaseThe Web Conference (WWW), 2022
Pantelitsa Leonidou
N. Kourtellis
Nikos Salamanos
Michael Sirivianos
161
3
0
23 Sep 2022
FLaaS: Cross-App On-device Federated Learning in Mobile Environments
FLaaS: Cross-App On-device Federated Learning in Mobile Environments
Kleomenis Katevas
Diego Perino
N. Kourtellis
FedML
218
1
0
22 Jun 2022
Fabricated Flips: Poisoning Federated Learning without Data
Fabricated Flips: Poisoning Federated Learning without DataDependable Systems and Networks (DSN), 2022
Jiyue Huang
Zilong Zhao
L. Chen
Stefanie Roos
254
3
0
07 Feb 2022
Securing Federated Sensitive Topic Classification against Poisoning
  Attacks
Securing Federated Sensitive Topic Classification against Poisoning AttacksNetwork and Distributed System Security Symposium (NDSS), 2022
Tianyue Chu
Álvaro García-Recuero
Costas Iordanou
Georgios Smaragdakis
Nikolaos Laoutaris
344
17
0
31 Jan 2022
DID-eFed: Facilitating Federated Learning as a Service with
  Decentralized Identities
DID-eFed: Facilitating Federated Learning as a Service with Decentralized IdentitiesInternational Conference on Evaluation & Assessment in Software Engineering (EASE), 2021
Fauzan Farooqui
Neel Kanwal
M. Jaatun
Chunming Rong
197
21
0
18 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial IntelligenceIEEE Communications Surveys and Tutorials (COMST), 2021
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
415
132
0
04 May 2021
PPFL: Privacy-preserving Federated Learning with Trusted Execution
  Environments
PPFL: Privacy-preserving Federated Learning with Trusted Execution EnvironmentsACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services (MobiSys), 2021
Fan Mo
Hamed Haddadi
Kleomenis Katevas
Eduard Marin
Diego Perino
N. Kourtellis
FedML
386
294
0
29 Apr 2021
The Rise and Fall of Fake News sites: A Traffic Analysis
The Rise and Fall of Fake News sites: A Traffic AnalysisWeb Science Conference (WebSci), 2021
Manolis Chalkiadakis
Alexandros Kornilakis
P. Papadopoulos
E. Markatos
N. Kourtellis
GNNMLAU
336
18
0
16 Mar 2021
Federated Learning: Opportunities and Challenges
Federated Learning: Opportunities and Challenges
P. Mammen
FedML
326
319
0
14 Jan 2021
I call BS: Fraud Detection in Crowdfunding Campaigns
I call BS: Fraud Detection in Crowdfunding Campaigns
Beatrice Perez
Sara R. Machado
Jerone T. A. Andrews
N. Kourtellis
223
12
0
30 Jun 2020
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