Decentralized Federated Averaging

23 April 2021

Tao Sun

Dongsheng Li

Bao Wang

FedML

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Papers citing "Decentralized Federated Averaging"

32 / 82 papers shown

Title
Federated Learning with Neural Graphical Models Urszula Chajewska H. Shrivastava FedML 20 1 0 20 Sep 2023
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey Mahdi Alkaeed Adnan Qayyum Junaid Qadir 24 16 0 19 Sep 2023
Distributed Variational Inference for Online Supervised Learning P. Paritosh Nikolay A. Atanasov Sonia Martinez 24 1 0 05 Sep 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 19 8 0 20 Aug 2023
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning Qinglun Li Li Shen Guang-Ming Li Quanjun Yin Dacheng Tao FedML 26 7 0 16 Aug 2023
The effect of network topologies on fully decentralized learning: a preliminary investigation Luigi Palmieri Lorenzo Valerio C. Boldrini A. Passarella 11 8 0 29 Jul 2023
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior Amir Jaberzadeh A. Shrestha F. Khan Mohammed Afaan Shaikh Bhargav Dave Jason Geng FedML 22 3 0 19 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 24 4 0 05 Jul 2023
Stochastic Unrolled Federated Learning Samar Hadou Navid Naderializadeh Alejandro Ribeiro FedML 22 5 0 24 May 2023
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training Yi Shi Yingqi Liu Yan Sun Zihao Lin Li Shen Xueqian Wang Dacheng Tao FedML 31 10 0 24 May 2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy Yi Shi Kang Wei Li Shen Yingqi Liu Xueqian Wang Bo Yuan Dacheng Tao FedML 28 2 0 01 May 2023
Make Landscape Flatter in Differentially Private Federated Learning Yi Shi Yingqi Liu Kang Wei Li Shen Xueqian Wang Dacheng Tao FedML 17 54 0 20 Mar 2023
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks Rohit Parasnis Seyyedali Hosseinalipour Yun-Wei Chu M. Chiang Christopher G. Brinton FedML 11 16 0 15 Mar 2023
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation Yilin Yang Kamil Adamczewski Danica J. Sutherland Xiaoxiao Li Mijung Park 20 14 0 03 Mar 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 30 13 0 16 Feb 2023
Improving the Model Consistency of Decentralized Federated Learning Yi Shi Li Shen Kang Wei Yan Sun Bo Yuan Xueqian Wang Dacheng Tao FedML 23 51 0 08 Feb 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges 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 18 221 0 15 Nov 2022
A Modified UDP for Federated Learning Packet Transmissions B. Mahembe Clement N. Nyirenda 13 1 0 11 Aug 2022
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications Ali Raza Shujun Li K. Tran L. Koehl Kim Duc Tran AAML 23 3 0 18 Jul 2022
Efficient and Privacy Preserving Group Signature for Federated Learning Sneha Kanchan Jae Won Jang J. Yoon Bong Jun Choi 14 9 0 12 Jul 2022
Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks Ignjat Pejic Rui Wang K. Liang BDL FedML 14 2 0 01 Jul 2022
MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution Akash Amalan Rui Wang Yan Qiao E. Panaousis K. Liang FedML OOD 10 2 0 24 Jun 2022
FedER: Federated Learning through Experience Replay and Privacy-Preserving Data Synthesis M. Pennisi Federica Proietto Salanitri Giovanni Bellitto Bruno Casella Marco Aldinucci S. Palazzo C. Spampinato OOD 14 9 0 20 Jun 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training Rong Dai Li Shen Fengxiang He Xinmei Tian Dacheng Tao FedML 11 110 0 01 Jun 2022
Can Foundation Models Help Us Achieve Perfect Secrecy? Simran Arora Christopher Ré FedML 11 6 0 27 May 2022
On the (In)security of Peer-to-Peer Decentralized Machine Learning Dario Pasquini Mathilde Raynal Carmela Troncoso OOD FedML 35 19 0 17 May 2022
Efficient and Reliable Overlay Networks for Decentralized Federated Learning Yifan Hua Kevin Miller Andrea L. Bertozzi Chao Qian Bao Wang OOD FedML 26 20 0 12 Dec 2021
Clustered Federated Learning via Generalized Total Variation Minimization Yasmin SarcheshmehPour Yu Tian Linli Zhang A. Jung FedML 13 8 0 26 May 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis Hong Xing Osvaldo Simeone Suzhi Bi 27 92 0 29 Jan 2021
BRIDGE: Byzantine-resilient Decentralized Gradient Descent Cheng Fang Zhixiong Yang W. Bajwa 11 94 0 21 Aug 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 119 1,194 0 16 Aug 2016
A Fast Distributed Proximal-Gradient Method Annie I. Chen Asuman Ozdaglar 65 146 0 08 Oct 2012