Astraea: Self-balancing Federated Learning for Improving Classification
Accuracy of Mobile Deep Learning Applications

Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications

2 July 2019

Papers citing "Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications"

19 / 19 papers shown

Title
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 41 1 0 01 Jun 2024
Federated Learning on Edge Sensing Devices: A Review Berrenur Saylam Ozlem Durmaz Incel 31 1 0 02 Nov 2023
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
A Secure Aggregation for Federated Learning on Long-Tailed Data Yanna Jiang Baihe Ma Xu Wang Guangsheng Yu Caijun Sun W. Ni R. Liu FedML 13 1 0 17 Jul 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 35 5 0 01 May 2023
DPP-based Client Selection for Federated Learning with Non-IID Data Yuxuan Zhang Chao Xu Howard H. Yang Xijun Wang Tony Q. S. Quek FedML 39 5 0 30 Mar 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 44 13 0 21 Mar 2023
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse Shenglai Zeng Zonghang Li Hongfang Yu Zhihao Zhang Long Luo Bo-wen Li Dusit Niyato 34 42 0 07 Nov 2022
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning Sikha Pentyala Nicola Neophytou A. Nascimento Martine De Cock G. Farnadi 34 17 0 23 May 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning Sangmook Kim Wonyoung Shin Soohyuk Jang Hwanjun Song Se-Young Yun 29 2 0 03 May 2022
Improving the Robustness of Federated Learning for Severely Imbalanced Datasets Debasrita Chakraborty Ashish Ghosh FedML 11 2 0 28 Apr 2022
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption Sam Leroux Pieter Simoens Meelis Lootus Kartik Thakore Akshay Sharma 24 16 0 21 Mar 2022
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data Isha Garg M. Nagaraj Kaushik Roy FedML 21 1 0 21 Jan 2022
Towards Federated Clustering: A Federated Fuzzy $c$ -Means Algorithm (FFCM) Morris Stallmann A. Wilbik FedML 30 37 0 18 Jan 2022
ARFED: Attack-Resistant Federated averaging based on outlier elimination Ece Isik Polat Gorkem Polat Altan Koçyiğit AAML FedML 33 10 0 08 Nov 2021
Federated Learning Versus Classical Machine Learning: A Convergence Comparison Muhammad Asad Ahmed Moustafa Takayuki Ito FedML 19 42 0 22 Jul 2021
Management of Resource at the Network Edge for Federated Learning Silvana Trindade L. Bittencourt N. Fonseca 22 6 0 07 Jul 2021
CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning D. Sarkar Sumit Rai Ankur Narang FedML 18 2 0 14 Nov 2020
Multiple Classification with Split Learning Jongwon Kim Sungho Shin Yeonguk Yu Junseok Lee Kyoobin Lee FedML 15 12 0 22 Aug 2020