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Tymoteusz I. Miller

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#federated learning Open access Oct 2026

Operating Envelopes of Synchronous and Asynchronous Federated Learning Under Communication Impairments in Smart-Grid Sensor Networks

Federated learning (FL) for distributed smart-grid monitoring is shaped jointly by statistical heterogeneity and communication timing. This study evaluates protocol operating envelopes rather than proposing a new aggregator. A frozen confirmatory campaign compares deadline-constrained FedAvg, FedAsync, FedBuff, and Fed...

Tymoteusz I. Miller, Irmina Durlik · 0 citations
#federated learning Open access Oct 2026

Federated Learning for Resilient Smart Grid Monitoring: A Physics-Based Simulation Framework for Distributed Energy Networks

Federated learning (FL) can support collaborative smart-grid monitoring without centralizing raw telemetry, but its value relative to local and centralized learning depends on both the operating regime and the learning model. This study evaluates that hypothesis in a physics-based AC power-flow simulation framework bui...

Tymoteusz I. Miller, Irmina Durlik · 0 citations
#federated learning Open access Sep 2026

TyMill/FedGridSim: v1.2.0

FedGridSim v1.2.0 — Reviewer Revision Release Overview FedGridSim v1.2.0 is the reproducibility release accompanying the revised manuscript: "Federated Learning for Resilient Smart-Grid Monitoring: A Physics-Based Simulation Framework for Distributed Energy Networks." The release consolidates the simulation, federated-...

Tymoteusz I. Miller · 0 citations

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