Composite Federated Learning with Heterogeneous Data
Author:
Affiliation:
1. KTH Royal Institute of Technology,School of Electrical Engineering and Computer Science
2. Harvard University,Massachusetts General Hospital and Harvard Medical School
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447718.pdf?arnumber=10447718
Reference20 articles.
1. Federated optimization in heterogeneous networks;Li
2. Angle-Displacement Rigidity Theory With Application to Distributed Network Localization
3. Fusion of Federated Learning and Industrial Internet of Things: A survey
4. FedAudio: A Federated Learning Benchmark for Audio Tasks
5. Communication-efficient learning of deep networks from decentralized data;McMahan;Artificial intelligence and statistics,2017
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1. Riemannian SVRG Using Barzilai–Borwein Method as Second-Order Approximation for Federated Learning;Symmetry;2024-08-23
2. Composite Federated Learning with Heterogeneous Data;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
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