GARFIELD: System Support for Byzantine Machine Learning (Regular Paper)

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GARFIELD: System Support for Byzantine Machine Learning (Regular Paper)

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Planetary-Scale Byzantine Fault Tolerance

Live-cell imaging powered by computation

Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads

Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity

Privatized graph federated learning

Impact of Redundancy on Resilience in Distributed Optimization and Learning

Rebooting Virtual Memory with Midgard

Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport

Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums

Genuinely distributed Byzantine machine learning

Hardware and Software Support for RPC-Centric Server Architecture

Oracular Byzantine Reliable Broadcast

An Equivalence Between Data Poisoning and Byzantine Gradient Attacks

On the advantages of P2P ML on mobile devices

Quantization for Distributed Processing and Learning of Structured Data

When to Hedge in Interactive Services

Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)

A Coarse-mesh Methodology for the Analysis of One and Two-phase Nuclear Reactor Thermal-hydraulics in a Multi-physics Context

Rational Agreement in the Presence of Crash Faults

Dynamic Byzantine Reliable Broadcast