7 citations · 25 across the 31 of their papers we have counts for
7 papers · 1 filter
Communication-Aware Model Distributed Inference via Latent Representation Compression
Peyman Gholami, Theodoros-Thirimachos Davarakis, Teng Li +9
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 commun…
Priority-Aware Model-Distributed Inference at Edge Networks
Teng Li, Hulya Seferoglu
Distributed inference techniques can be broadly classified into data-distributed and model-distributed schemes. In data-distributed inference (DDI), each worker carries the entire…
Early-Exit meets Model-Distributed Inference at Edge Networks
Marco Colocrese, Erdem Koyuncu, Hulya Seferoglu
Distributed inference techniques can be broadly classified into data-distributed and model-distributed schemes. In data-distributed inference (DDI), each worker carries the entire…
Efficient Coded Multi-Party Computation at Edge Networks
Elahe Vedadi, Yasaman Keshtkarjahromi, Hulya Seferoglu
Multi-party computation (MPC) is promising for designing privacy-preserving machine learning algorithms at edge networks. An emerging approach is coded-MPC (CMPC), which advocates…
Adaptive Gap Entangled Polynomial Coding for Multi-Party Computation at the Edge
Elahe Vedadi, Yasaman Keshtkarjahromi, Hulya Seferoglu
Multi-party computation (MPC) is promising for designing privacy-preserving machine learning algorithms at edge networks. An emerging approach is coded-MPC (CMPC), which advocates…
Secure Coded Cooperative Computation at the Heterogeneous Edge against Byzantine Attacks
Yasaman Keshtkarjahromi, Rawad Bitar, Venkat Dasari +2
Edge computing is emerging as a new paradigm to allow processing data at the edge of the network, where data is typically generated and collected, by exploiting multiple devices at…