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Gossip Learning with Linear Models on Fully Distributed Data
7 September 2011
Róbert Ormándi
István Hegedüs
Márk Jelasity
FedML
OOD
Re-assign community
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Papers citing
"Gossip Learning with Linear Models on Fully Distributed Data"
47 / 47 papers shown
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Matthew B. Blaschko
Eunchung Noh
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Mete Ozay
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565
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26 Mar 2025
Accelerating MoE Model Inference with Expert Sharding
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Anne-Marie Kermarrec
Rafael Pires
André Loureiro Espírito Santo
M. Vos
Milos Vujasinovic
MoE
403
6
0
11 Mar 2025
Mesterséges Intelligencia Kutatások Magyarországon
András A. Benczúr
Tibor Gyimóthy
Balázs Szegedy
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274
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0
24 Feb 2025
Boosting Asynchronous Decentralized Learning with Model Fragmentation
The Web Conference (WWW), 2024
Sayan Biswas
Anne-Marie Kermarrec
Alexis Marouani
Rafael Pires
Rishi Sharma
M. Vos
322
6
0
16 Oct 2024
Fair Decentralized Learning
Sayan Biswas
Anne-Marie Kermarrec
Rishi Sharma
Thibaud Trinca
M. Vos
FedML
599
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03 Oct 2024
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
Diego Cajaraville-Aboy
Ana Fernández-Vilas
R. Redondo
Manuel Fernández-Veiga
293
11
0
26 Sep 2024
On the effects of similarity metrics in decentralized deep learning under distributional shift
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Tom Hagander
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305
0
0
16 Sep 2024
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Cheng Xin
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217
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31 May 2024
Secure Aggregation Meets Sparsification in Decentralized Learning
Sayan Biswas
Anne-Marie Kermarrec
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Milos Vujasinovic
281
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0
13 May 2024
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning
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Lei Yang
Feng Yan
Junshan Zhang
285
16
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01 May 2024
Scale-Robust Timely Asynchronous Decentralized Learning
Purbesh Mitra
S. Ulukus
240
1
0
30 Apr 2024
De-DSI: Decentralised Differentiable Search Index
Petru Neague
Marcel Gregoriadis
Johan Pouwelse
325
3
0
18 Apr 2024
Context-Aware Orchestration of Energy-Efficient Gossip Learning Schemes
Mina Aghaei Dinani
Adrian Holzer
Hung Nguyen
M. Marsan
Gianluca Rizzo
185
1
0
18 Apr 2024
Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes
Sayan Biswas
Mathieu Even
Anne-Marie Kermarrec
Laurent Massoulie
Rafael Pires
Rishi Sharma
M. Vos
271
0
0
15 Apr 2024
Vanishing Variance Problem in Fully Decentralized Neural-Network Systems
Yongding Tian
Zaid Al-Ars
Maksim Kitsak
P. Hofstee
FedML
248
2
0
06 Apr 2024
Data Poisoning Attacks in Gossip Learning
International Conference on Advanced Information Networking and Applications (AINA), 2024
Alexandre Pham
M. Potop-Butucaru
Sébastien Tixeuil
Serge Fdida
137
4
0
11 Mar 2024
Impact of network topology on the performance of Decentralized Federated Learning
Luigi Palmieri
Chiara Boldrini
Lorenzo Valerio
A. Passarella
M. Conti
317
12
0
28 Feb 2024
Linear time Evidence Accumulation Clustering with KMeans
G. Candel
129
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0
15 Nov 2023
The theoretical limits of biometry
G. Candel
CVBM
152
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0
06 Nov 2023
The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies
F. Wilhelmi
Nima Afraz
Elia Guerra
Paolo Dini
262
6
0
11 Oct 2023
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
Neural Information Processing Systems (NeurIPS), 2023
M. Vos
Sadegh Farhadkhani
R. Guerraoui
Anne-Marie Kermarrec
Rafael Pires
Rishi Sharma
370
29
0
03 Oct 2023
Collaborative Distributed Machine Learning
ACM Computing Surveys (ACM Comput. Surv.), 2023
Sumit Kumar Jha
Patrick Lincoln
Sascha Rank
Ali Sunyaev
452
8
0
28 Sep 2023
Tram-FL: Routing-based Model Training for Decentralized Federated Learning
Consumer Communications and Networking Conference (CCNC), 2023
Kota Maejima
Takayuki Nishio
Asato Yamazaki
Yuko Hara-Azumi
99
9
0
09 Aug 2023
Concept-aware clustering for decentralized deep learning under temporal shift
Marcus Toftås
Emilie Klefbom
Edvin Listo Zec
Martin Willbo
Olof Mogren
OOD
183
0
0
22 Jun 2023
Get More for Less in Decentralized Learning Systems
IEEE International Conference on Distributed Computing Systems (ICDCS), 2023
Akash Dhasade
Anne-Marie Kermarrec
Rafael Pires
Rishi Sharma
Milos Vujasinovic
Jeffrey Wigger
272
10
0
07 Jun 2023
Decentralized Learning Made Practical with Client Sampling
M. Vos
Akash Dhasade
Anne-Marie Kermarrec
Erick Lavoie
J. Pouwelse
Rishi Sharma
321
1
0
27 Feb 2023
On the Limit Performance of Floating Gossip
IEEE Conference on Computer Communications (IEEE INFOCOM), 2023
Gianluca Rizzo
Noelia Pérez Palma
M. Marsan
Vincenzo Mancuso
FedML
172
0
0
16 Feb 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
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Jiajun Wu
Steve Drew
Fan Dong
Zhuangdi Zhu
Jiayu Zhou
FedML
365
111
0
06 Feb 2023
Efficient Node Selection in Private Personalized Decentralized Learning
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Johan Ostman
Olof Mogren
D. Gillblad
263
2
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30 Jan 2023
G-Rank: Unsupervised Continuous Learn-to-Rank for Edge Devices in a P2P Network
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J. Pouwelse
179
3
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29 Jan 2023
A Survey on Federated Recommendation Systems
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Zehua Sun
Yonghui Xu
Wenshu Fan
Weiliang He
Lanju Kong
Fangzhao Wu
Yiheng Jiang
Li-zhen Cui
FedML
342
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27 Dec 2022
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
IEEE Communications Surveys and Tutorials (COMST), 2022
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
601
466
0
15 Nov 2022
Aergia: Leveraging Heterogeneity in Federated Learning Systems
International Middleware Conference (Middleware), 2022
Bart Cox
L. Chen
Jérémie Decouchant
FedML
280
15
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12 Oct 2022
The Cost of Training Machine Learning Models over Distributed Data Sources
IEEE Open Journal of the Communications Society (OJ-COMS), 2022
Elia Guerra
F. Wilhelmi
M. Miozzo
Paolo Dini
FedML
266
36
0
15 Sep 2022
Decentralized adaptive clustering of deep nets is beneficial for client collaboration
Edvin Listo Zec
Ebba Ekblom
Martin Willbo
Olof Mogren
Sarunas Girdzijauskas
OOD
FedML
253
11
0
17 Jun 2022
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions
Journal of Industrial Information Integration (JIII), 2022
Chamara Sandeepa
Bartlomiej Siniarski
N. Kourtellis
Shen Wang
Madhusanka Liyanage
283
32
0
08 Mar 2022
Implicit Model Specialization through DAG-based Decentralized Federated Learning
International Middleware Conference (Middleware), 2021
Jossekin Beilharz
Bjarne Pfitzner
R. Schmid
Paul Geppert
Bernd Arnrich
A. Polze
FedML
OOD
256
22
0
01 Nov 2021
Noise-Resilient Ensemble Learning using Evidence Accumulation Clustering
G. Candel
D. Naccache
112
1
0
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Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review
Journal of Network and Computer Applications (JNCA), 2021
Gonzalo Munilla Garrido
Johannes Sedlmeir
Ömer Uludağ
Ilias Soto Alaoui
André Luckow
Florian Matthes
294
57
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Decentralized federated learning of deep neural networks on non-iid data
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Gustav Karlsson
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Edvin Listo Zec
FedML
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186
53
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Federated Quantum Machine Learning
Entropy (Entropy), 2021
Samuel Yen-Chi Chen
Shinjae Yoo
FedML
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305
175
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Detection of Insider Attacks in Distributed Projected Subgradient Algorithms
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Gangqiang Li
Shengli Zhang
Xiaohui Lin
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193
6
0
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A Survey on Distributed Machine Learning
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Jonathan Katzy
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Jan S. Rellermeyer
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403
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Haoyi Xiong
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Baoxin Zhao
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Zeyu Chen
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Jun Huan
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240
58
0
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Distributed Machine Learning via Sufficient Factor Broadcasting
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Yi Zhou
Qirong Ho
Abhimanu Kumar
Yaoliang Yu
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199
27
0
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