Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction

no code implementations • 5 Feb 2023 • Albert Sayapin, Gleb Balitskiy, Daniel Bershatsky, Aleksandr Katrutsa, Evgeny Frolov, Alexey Frolov, Ivan Oseledets, Vitaliy Kharin

Since the data about user experience are distributed among devices, the federated learning setup is used to train the proposed sequential matrix factorization model.

Collaborative Filtering Federated Learning +1

QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks

no code implementations • CVPR 2021 • Vladimir Kryzhanovskiy, Gleb Balitskiy, Nikolay Kozyrskiy, Aleksandr Zuruev

Modern deep neural networks (DNNs) cannot be effectively used in mobile and embedded devices due to strict requirements for computational complexity, memory, and power consumption.

Parameter Prediction Quantization +1