Trustworthy Federated Learning

First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers

Häftad, Engelska, 2023

Av Randy Goebel, Han Yu, Boi Faltings, Lixin Fan, Zehui Xiong

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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. adaptive expert models for personalization in federated learning and privacy-preserving federated cross-domain social recommendation.

Produktinformation

Utgivningsdatum2023-03-29
Mått155 x 235 x 10 mm
Vikt271 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor159
FörlagSpringer International Publishing AG
ISBN9783031289958

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Systemvetenskap och AI inom Data och it
IT-säkerhet inom Data och it
Nätverk och kommunikation inom Data och it
Artificiell intelligens inom Data och it

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.