Ali Anwar

F3: Serving Files Efficiently in Serverless Computing

2023

Serverless platforms offer on-demand computation and represent a significant shift from previous platforms that typically required resources to be pre-allocated (e.g., virtual machines). As serverless platforms have evolved, they have become suitable for a much …

HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning

2024 · arXiv (Cornell University)

Federated Learning is a well-researched approach for collaboratively training machine learning models across decentralized data while preserving privacy. However, integrating Homomorphic Encryption to ensure data confidentiality introduces significant computational and communication overheads, particularly in heterogeneous …