FedMultimodal: A Benchmark For Multimodal Federated Learning

Over the past few years, Federated Learning (FL) has become an emerging machine learning technique to tackle data privacy challenges through collaborative training. In the Federated Learning algorithm, the clients submit a locally trained model, and the server aggregates these parameters until conve...

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Veröffentlicht in:	arXiv.org 2023-06
Hauptverfasser:	Feng, Tiantian, Bose, Digbalay, Zhang, Tuo, Hebbar, Rajat, Ramakrishna, Anil, Gupta, Rahul, Zhang, Mi, Avestimehr, Salman, Narayanan, Shrikanth
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Audio data Benchmarks Computer vision Data transmission Datasets Emotion recognition Feature extraction Heterogeneity Labels Machine learning Multimedia Natural language processing Privacy Robustness
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