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El. knyga: Trustworthy Federated Learning: First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers

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Trustworthy Federated Learning: First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected PapersDidesnis paveikslėlis
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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 in three topical sections: answer set programming; adaptive expert models for personalization in federated learning and privacy-preserving federated cross-domain social recommendation.


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.
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