Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study
Author:
Affiliation:
1. Shanghai Jiao Tong University, Shanghai, China
2. MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China
Funder
NSFC
Shanghai Municipal Science and Technology Major Project
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3652583.3657999
Reference65 articles.
1. Lasse F. Wolff Anthony et al. 2020. Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models. ICML Workshop on Challenges in Deploying and monitoring Machine Learning Systems.
2. Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence
3. Federated disentangled representation learning for unsupervised brain anomaly detection
4. Ruisi Cai Xiaohan Chen Shiwei Liu Jayanth Srinivasa Myungjin Lee Ramana Kompella and Zhangyang Wang. 2023. Many-Task Federated Learning: A New Problem Setting and A Simple Baseline. In CVPR. 5037--5045.
5. Rich Caruana. 1997. Multitask learning. Machine learning, Vol. 28, 1 (1997), 41--75.
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