Work

Screen Before You Fetch: Compressed Byzantine Screening for Decentralized Learning on the Edge-Cloud Continuum

Year: 2025

Type: preprint

Abstract: @article{rangwala2025sketchguard, title={SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening}, author={Rangwala, Murtaza and Azzedin, Farag and Sinnott, Richard O and Buyya, Rajkumar}, journal={arXiv preprint arXiv:2510.07922}, year={2025} }

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2510.07922

Authors: Rangwala, Murtaza, Azzedin, Farag, Sinnott, Richard O., Buyya, Rajkumar

Institutions: The University of Melbourne, King Fahd University of Petroleum and Minerals

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Australian Research Council

Awards: Whopping Volta GPU Cluster – Transforming Artificial Intelligence Research, Causal Knowledge-Empowered Adaptive Federated Learning

OpenAlex ID: W4417112396

Cites:

Cited by:

Related to: