43 citations · 222 across the 44 of their papers we have counts for
17 papers · 1 filter
Analyzing the Impact of Participant Failures in Cross-Silo Federated Learning
Fabian Stricker, David Bermbach, Christian Zirpins
Federated learning (FL) is a new paradigm for training machine learning (ML) models without sharing data. While applying FL in cross-silo scenarios, where organizations collaborate…
Investigating the Impact of Isolation on Synchronized Benchmarks
Nils Japke, Furat Hamdan, Diana Baumann +1
Benchmarking in cloud environments suffers from performance variability from multi-tenant resource contention. Duet benchmarking mitigates this by running two workload versions con…
DisCEdge: Distributed Context Management for Large Language Models at the Edge
Mohammadreza Malekabbasi, Minghe Wang, David Bermbach
Deploying Large Language Model (LLM) services at the edge benefits latency-sensitive and privacy-aware applications. However, the stateless nature of LLMs makes managing user conte…
Towards an Optimized Benchmarking Platform for CI/CD Pipelines
Nils Japke, Sebastian Koch, Helmut Lukasczyk +1
Performance regressions in large-scale software systems can lead to substantial resource inefficiencies, making their early detection critical. Frequent benchmarking is essential f…
Towards Energy-Efficient Serverless Computing with Hardware Isolation
Natalie Carl, Tobias Pfandzelter, David Bermbach
Serverless computing provides just-in-time infrastructure provisioning with rapid elasticity and a finely-grained pricing model. As full control of resource allocation is in the ha…
Towards a Testbed for Scalable FaaS Platforms
Trever Schirmer, David Bermbach
Most cloud platforms have a Function-as-a-Service (FaaS) offering that enables users to easily write highly scalable applications. To better understand how the platform's architect…