Author

Stratis Ioannidis

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Preprint Sep 2026

Communication-Aware Model Distributed Inference via Latent Representation Compression

We study optimization of distributed model inference over resource-constrained edge resources. We propose a framework that optimizes the trade-off between model accuracy and communication costs by controlling latent representation compression to meet strict Quality of Service (QoS) throughput targets. For settings with...

Peyman Gholami, Theodoros-Thirimachos Davarakis, Teng Li et al. · 0 citations

#machine learning Preprint Sep 2026

Resilience Beyond Stationary Client Unavailability: Unlocking Efficient and Unbiased Federated Learning

FedSWE is proposed, which admits novel algorithmic structures to compensate for missed computations, stabilize and diffuse the global updates over rounds, and evenly mix the local updates through implicit gossiping, despite being agnostic to non-stationary dynamics.

Ming Xiang, Stratis Ioannidis, Edmund Yeh et al. · 0 citations