Decentralized Federated Learning via Mutual Knowledge Transfer

Decentralized Federated Learning via Mutual Knowledge Transfer

24 December 2020

Papers citing "Decentralized Federated Learning via Mutual Knowledge Transfer"

12 / 12 papers shown

Title
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution Lina Wang Yunsheng Yuan Chunxiao Wang Feng Li FedML 43 0 0 31 Mar 2025
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 55 6 0 19 May 2024
Practical Insights into Knowledge Distillation for Pre-Trained Models Norah Alballa Marco Canini 45 2 0 22 Feb 2024
Gradient Coding in Decentralized Learning for Evading Stragglers Chengxi Li Mikael Skoglund 26 1 0 06 Feb 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
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning Deepak Ravikumar Gobinda Saha Sai Aparna Aketi Kaushik Roy 11 1 0 09 Apr 2023
Knowledge Distillation in Federated Edge Learning: A Survey Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Xue Jiang Runhan Li Bo Gao FedML 27 4 0 14 Jan 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 26 221 0 15 Nov 2022
Find Your Friends: Personalized Federated Learning with the Right Collaborators Yi Sui Junfeng Wen Yenson Lau Brendan Leigh Ross Jesse C. Cresswell FedML 33 10 0 12 Oct 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 30 36 0 23 Mar 2022
Deep Federated Learning for Autonomous Driving A. Nguyen Tuong Khanh Long Do Minh-Ngoc Tran Binh X. Nguyen C. Duong T. Phan Erman Tjiputra Quang-Dieu Tran FedML 23 109 0 12 Oct 2021