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Peer-to-peer Federated Learning on Graphs

Peer-to-peer Federated Learning on Graphs

31 January 2019
Anusha Lalitha
O. Kilinc
T. Javidi
F. Koushanfar
    OOD
    FedML
ArXivPDFHTML

Papers citing "Peer-to-peer Federated Learning on Graphs"

25 / 25 papers shown
Title
OledFL: Unleashing the Potential of Decentralized Federated Learning via
  Opposite Lookahead Enhancement
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
Qinglun Li
Miao Zhang
Mengzhu Wang
Quanjun Yin
Li Shen
OODD
FedML
14
0
0
09 Oct 2024
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated
  Learning
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
Zhangchen Xu
Fengqing Jiang
Luyao Niu
Jinyuan Jia
Radha Poovendran
11
0
0
10 Jan 2024
A review on different techniques used to combat the non-IID and
  heterogeneous nature of data in FL
A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL
Iyer Venkataraman Natarajan
23
8
0
01 Jan 2024
Privacy-Preserving Graph Machine Learning from Data to Computation: A
  Survey
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
Dongqi Fu
Wenxuan Bao
Ross Maciejewski
Hanghang Tong
Jingrui He
24
9
0
10 Jul 2023
Graph Federated Learning with Hidden Representation Sharing
Graph Federated Learning with Hidden Representation Sharing
Shuang Wu
Mingxuan Zhang
Yuantong Li
Carl Yang
Pan Li
FedML
19
1
0
23 Dec 2022
Over-The-Air Clustered Wireless Federated Learning
Over-The-Air Clustered Wireless Federated Learning
Ayush Madhan-Sohini
Divin Dominic
Nazreen Shah
Ranjitha Prasad
19
2
0
07 Nov 2022
Privacy-preserving Decentralized Federated Learning over Time-varying
  Communication Graph
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph
Yang Lu
Zhengxin Yu
N. Suri
FedML
19
14
0
01 Oct 2022
Confederated Learning: Federated Learning with Decentralized Edge
  Servers
Confederated Learning: Federated Learning with Decentralized Edge Servers
Bin Wang
Jun Fang
Hongbin Li
Xiaojun Yuan
Qing Ling
FedML
13
23
0
30 May 2022
Decentralized Event-Triggered Federated Learning with Heterogeneous
  Communication Thresholds
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds
Shahryar Zehtabi
Seyyedali Hosseinalipour
Christopher G. Brinton
FedML
19
15
0
07 Apr 2022
Federated Learning for Distributed Spectrum Sensing in NextG
  Communication Networks
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks
Yi Shi
Y. Sagduyu
T. Erpek
FedML
9
15
0
06 Apr 2022
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework
  with Adaptive Neighbor Matching
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching
Zexi Li
Jiaxun Lu
Shuang Luo
Didi Zhu
Yunfeng Shao
Yinchuan Li
Zhimeng Zhang
Yongheng Wang
Chao-Xiang Wu
FedML
25
36
0
23 Mar 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph
  Neural Networks
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks
Jing Xu
Rui Wang
Stefanos Koffas
K. Liang
S. Picek
FedML
AAML
21
25
0
07 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
17
21
0
07 Feb 2022
Demystifying Swarm Learning: A New Paradigm of Blockchain-based
  Decentralized Federated Learning
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning
Jialiang Han
Y. Ma
Yudong Han
33
14
0
14 Jan 2022
FLoBC: A Decentralized Blockchain-Based Federated Learning Framework
FLoBC: A Decentralized Blockchain-Based Federated Learning Framework
M. C. Ghanem
Fadi Dawoud
Habiba Gamal
E. Soliman
Hossam Sharara
Tamer El-Batt
11
10
0
22 Dec 2021
Scatterbrained: A flexible and expandable pattern for decentralized
  machine learning
Scatterbrained: A flexible and expandable pattern for decentralized machine learning
Miller Wilt
Jordan K Matelsky
A. Gearhart
FedML
OOD
13
4
0
14 Dec 2021
Learning, Computing, and Trustworthiness in Intelligent IoT
  Environments: Performance-Energy Tradeoffs
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs
B. Soret
L. Nguyen
J. Seeger
Arne Bröring
Chaouki Ben Issaid
S. Samarakoon
Anis El Gabli
V. Kulkarni
M. Bennis
P. Popovski
16
13
0
04 Oct 2021
The Effect of Training Parameters and Mechanisms on Decentralized
  Federated Learning based on MNIST Dataset
The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset
Zhuofan Zhang
Mi Zhou
K. Niu
C. Abdallah
FedML
26
1
0
07 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism
  with Convergence Guarantee
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee
Chunjiang Che
Xiaoli Li
Chuan Chen
Xiaoyu He
Zibin Zheng
FedML
14
72
0
01 Aug 2021
PPT: A Privacy-Preserving Global Model Training Protocol for Federated
  Learning in P2P Networks
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks
Qian Chen
Zilong Wang
Wenjing Zhang
Xiaodong Lin
FedML
19
16
0
30 May 2021
Decentralized Federated Averaging
Decentralized Federated Averaging
Tao Sun
Dongsheng Li
Bao Wang
FedML
26
206
0
23 Apr 2021
Communication-Efficient and Distributed Learning Over Wireless Networks:
  Principles and Applications
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
6
159
0
06 Aug 2020
Dynamic Sampling and Selective Masking for Communication-Efficient
  Federated Learning
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning
Shaoxiong Ji
Wenqi Jiang
A. Walid
Xue Li
FedML
21
66
0
21 Mar 2020
Federated Learning with Cooperating Devices: A Consensus Approach for
  Massive IoT Networks
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks
S. Savazzi
M. Nicoli
V. Rampa
FedML
11
303
0
27 Dec 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with
  Edge Computing
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou
Xu Chen
En Li
Liekang Zeng
Ke Luo
Junshan Zhang
6
1,416
0
24 May 2019
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