Selected Publications

  1. Speculation at a Distance: Where Edge-Cloud Speculative Decoding Actually Pays Off
    Y. Lyu, B. Irukulapati, J. P. Champati
    ACM SEC Edge Intelligence Workshop 2026 [paper]
  2. Hierarchical Inference with an Offload Queue
    S. Nomula, P. Parag, A. J. Ganesh, J. P. Champati
    INFOCOM 2026 [paper]
  3. Inference Offloading for Cost-Sensitive Binary Classification at the Edge
    V. N. Moothedath, U. Agarwal, J. R. Gross, J. P. Champati, S. Moharir
    AAAI 2026 [paper]
  4. Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical
    A. P. Behera, P. Daubaris, I. Bravo, J. Gallego, R. Morabito, J. Widmer, J. P. Champati
    IEEE IoT Journal 2025 [paper]
  5. Online Learning with Stochastically Partitioning Experts
    P. Datta, S. Moharir, J. P. Champati
    UAI 2025 [paper]
  6. Regret Bounds for Online Learning for Hierarchical Inference
    G. Al-Atat, P. Datta, S. Moharir, J. P. Champati
    MobiHoc 2024 [paper]
  7. Getting the Best Out of Both Worlds: Algorithms for Hierarchical Inference at the Edge
    V. N. Moothedath, J. P. Champati, J. Gross
    IEEE TMLCN 2024 [paper]
  8. Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices
    A. P. Behera, R. Morabito, J. Widmer, J. P. Champati
    MobiCom Workshop 2023 [paper]
  9. The Case for Hierarchical Deep Learning Inference at the Network Edge
    G. Al-Atat, A. Fresa, A. P. Behera, V. N. Moothedath, J. Gross, J. P. Champati
    NetAI Workshop, MobiSys 2023 [paper]
  10. Offloading Algorithms for Maximizing Inference Accuracy on Edge Device Under a Time Constraint
    A. Fresa, J. P. Champati
    IEEE TPDS 2023 [paper]

Profiles

For a broader and continuously updated publication list, please see Google Scholar.