Multi-Task Federated Learning for Personalised Deep Neural Networks in
Edge Computing

Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing

17 July 2020

Papers citing "Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing"

12 / 12 papers shown

Title
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis Luyuan Xie Tianyu Luan Wenyuan Cai Guochen Yan Zhaoyu Chen Nan Xi Yuejian Fang Qingni Shen Zhonghai Wu Junsong Yuan FedML 67 0 0 13 Mar 2025
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks Jiarui Song Yunheng Shen Chengbin Hou Pengyu Wang Jinbao Wang Ke Tang Hairong Lv FedML 44 1 0 24 Jan 2025
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 66 1 0 21 Oct 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning Yanli Li Jehad Ibrahim Huaming Chen Dong Yuan Kim-Kwang Raymond Choo 32 0 0 03 May 2024
Sequence-to-sequence models in peer-to-peer learning: A practical application Robert Šajina Ivo Ipšić 46 0 0 02 May 2024
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning Yunchao Yang Yipeng Zhou Miao Hu Di Wu Quan.Z Sheng FedML 21 7 0 09 May 2023
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning Prakash Chourasia Taslim Murad Z. Tayebi Sarwan Ali Imdadullah Khan Murray Patterson FedML 34 5 0 17 Feb 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
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Xue Jiang Bo Gao 37 31 0 01 Jan 2023
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends Yonghao Xu Tao Bai Weikang Yu Shizhen Chang P. M. Atkinson Pedram Ghamisi AAML 38 47 0 19 Dec 2022
Federated Learning for Appearance-based Gaze Estimation in the Wild Mayar Elfares Zhiming Hu Pascal Reisert Andreas Bulling Ralf Küsters FedML 21 11 0 14 Nov 2022
Multi-Task and Transfer Learning for Federated Learning Applications Cihat Keçeci M. Shaqfeh Hayat Mbayed E. Serpedin FedML 24 3 0 17 Jul 2022