Search Results for author: Eduard Marin

Found 2 papers, 1 papers with code

PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments

1 code implementation29 Apr 2021 Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis

We propose and implement a Privacy-preserving Federated Learning ($PPFL$) framework for mobile systems to limit privacy leakages in federated learning.

Federated Learning Privacy Preserving

A Review of Deep Reinforcement Learning in Serverless Computing: Function Scheduling and Resource Auto-Scaling

no code implementations5 Oct 2023 Amjad Yousef Majid, Eduard Marin

Our analysis reveals that DRL, with its ability to learn and adapt from an environment, shows promising results in improving the efficiency of function scheduling and resource scaling in serverless computing.

Benchmarking Multi-agent Reinforcement Learning +2

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