Fed-CASQ: Enhancing Class-Wise Accuracy in Pervasive Federated Learning with Class-Aware Scaling and Quantization

Dey, E.; Ravi, A.; Shinde, G.; Chugh, G.; Ghosh, I.; Misra, A.; Roy, N.

doi:10.13016/m2qpym-aj3l

Publications PerCom 2026

Fed-CASQ: Enhancing Class-Wise Accuracy in Pervasive Federated Learning with Class-Aware Scaling and Quantization

Dey, E., Ravi, A., Shinde, G., Chugh, G., Ghosh, I., Misra, A. & Roy, N.

PerCom 2026 · Main track · CORE A* · ML / AI, Systems

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BibTeX

@inproceedings{dey2026fedcasq,
  title={Fed-CASQ: Enhancing Class-Wise Accuracy in Pervasive Federated Learning with Class-Aware Scaling and Quantization},
  author={Dey, E. and Ravi, A. and Shinde, G. and Chugh, G. and Ghosh, I. and Misra, A. and Roy, N.},
  booktitle={PerCom 2026},
  year={2026},
  url={https://doi.org/10.13016/m2qpym-aj3l}
}

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Fed-CASQ: Enhancing Class-Wise Accuracy in Pervasive Federated Learning with Class-Aware Scaling and Quantization

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