DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology

10 November 2021

Papers citing "DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology"

5 / 5 papers shown

Title
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
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization Qingsong Zhang Bin Gu Cheng Deng Songxiang Gu Liefeng Bo J. Pei Heng-Chiao Huang FedML 95 30 0 26 Sep 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 183 840 0 01 Mar 2021
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation Jun Li Yumeng Shao Kang Wei Ming Ding Chuan Ma Long Shi Zhu Han Vincent Poor FedML 55 150 0 18 Jan 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 760 0 28 Sep 2019