Peer-to-peer Federated Learning on Graphs

31 January 2019

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

35 / 35 papers shown

Title
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement Qinglun Li Miao Zhang Mengzhu Wang Quanjun Yin Li Shen OODD FedML 26 0 0 09 Oct 2024
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Radha Poovendran 26 0 0 10 Jan 2024
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 Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 33 9 0 10 Jul 2023
Graph Federated Learning with Hidden Representation Sharing Shuang Wu Mingxuan Zhang Yuantong Li Carl Yang Pan Li FedML 24 1 0 23 Dec 2022
Over-The-Air Clustered Wireless Federated Learning Ayush Madhan-Sohini Divin Dominic Nazreen Shah Ranjitha Prasad 29 2 0 07 Nov 2022
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph Yang Lu Zhengxin Yu N. Suri FedML 24 14 0 01 Oct 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications Xingbo Fu Binchi Zhang Yushun Dong Chen Chen Jundong Li FedML OOD AI4CE 36 35 0 24 Jul 2022
Confederated Learning: Federated Learning with Decentralized Edge Servers Bin Wang Jun Fang Hongbin Li Xiaojun Yuan Qing Ling FedML 26 23 0 30 May 2022
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds Shahryar Zehtabi Seyyedali Hosseinalipour Christopher G. Brinton FedML 34 15 0 07 Apr 2022
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks Yi Shi Y. Sagduyu T. Erpek FedML 24 15 0 06 Apr 2022
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 37 36 0 23 Mar 2022
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 36 25 0 07 Feb 2022
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning Shuang Dai Fanlin Meng FedML OnRL 37 21 0 07 Feb 2022
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning Jialiang Han Y. Ma Yudong Han 48 15 0 14 Jan 2022
FLoBC: A Decentralized Blockchain-Based Federated Learning Framework M. C. Ghanem Fadi Dawoud Habiba Gamal E. Soliman Hossam Sharara Tamer El-Batt 19 10 0 22 Dec 2021
Scatterbrained: A flexible and expandable pattern for decentralized machine learning Miller Wilt Jordan K Matelsky A. Gearhart FedML OOD 19 4 0 14 Dec 2021
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 31 13 0 04 Oct 2021
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems Kevser Sahinbas Ferhat Ozgur Catak 28 11 0 29 Sep 2021
The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset Zhuofan Zhang Mi Zhou K. Niu C. Abdallah FedML 44 1 0 07 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 33 72 0 01 Aug 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 40 74 0 23 Jul 2021
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks Qian Chen Zilong Wang Wenjing Zhang Xiaodong Lin FedML 28 16 0 30 May 2021
Differentially Private Federated Knowledge Graphs Embedding Hao Peng Haoran Li Yangqiu Song V. Zheng Jianxin Li FedML 28 80 0 17 May 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 51 243 0 29 Apr 2021
Decentralized Federated Averaging Tao Sun Dongsheng Li Bao Wang FedML 48 207 0 23 Apr 2021
Federated Quantum Machine Learning Samuel Yen-Chi Chen Shinjae Yoo FedML AI4CE 19 115 0 22 Mar 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations F. Lin Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi FedML 35 109 0 18 Mar 2021
BayGo: Joint Bayesian Learning and Information-Aware Graph Optimization Tamara Alshammari S. Samarakoon Anis Elgabli M. Bennis 30 5 0 09 Nov 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning Othmane Marfoq Chuan Xu Giovanni Neglia Richard Vidal FedML 67 85 0 23 Oct 2020
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 34 161 0 06 Aug 2020
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning Shaoxiong Ji Wenqi Jiang A. Walid Xue Li FedML 28 66 0 21 Mar 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 19 289 0 11 Feb 2020
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks S. Savazzi M. Nicoli V. Rampa FedML 13 305 0 27 Dec 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 23 1,420 0 24 May 2019