Trustworthy Federated Learning First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers /
This book constitutes the refereed proceedings of the First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, held in Vienna, Austria, during July 23-25, 2022. The 11 full papers presented in this book were carefully reviewed and selected from 12 submissions. They are organized i...
I tiakina i:
| Kaituhi rangatōpū: | |
|---|---|
| Ētahi atu kaituhi: | , , , , |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Putanga: | 1st ed. 2023. |
| Rangatū: | Lecture Notes in Artificial Intelligence,
13448 |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-3-031-28996-5 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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Rārangi ihirangi:
- Adaptive Expert Models for Personalization in Federated Learning
- Federated Learning with GAN-based Data Synthesis for Non-iid Clients
- Practical and Secure Federated Recommendation with Personalized Mask
- A General Theory for Client Sampling in Federated Learning
- Decentralized adaptive clustering of deep nets is beneficial for client collaboration
- Sketch to Skip and Select: Communication Efficient Federated Learning using Locality Sensitive Hashing
- Fast Server Learning Rate Tuning for Coded Federated Dropout
- FedAUXfdp: Differentially Private One-Shot Federated Distillation
- Secure forward aggregation for vertical federated neural network
- Two-phased Federated Learning with Clustering and Personalization for Natural Gas Load Forecasting
- Privacy-Preserving Federated Cross-Domain Social Recommendation.