FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Environments. Gupta, A., Gupta, H. P., & Das, S. K. In Mitra, S., Venkatasubramanian, N., Dubey, A., Feng, L., Ghasemi, M., & Sprinkle, J., editors, Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, ICCPS 2023, (with CPS-IoT Week 2023), San Antonio, TX, USA, May 9-12, 2023, pages 78–87, 2023. ACM.
FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Environments [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/iccps/0012G023,
  author       = {Ashish Gupta and
                  Hari Prabhat Gupta and
                  Sajal K. Das},
  editor       = {Sayan Mitra and
                  Nalini Venkatasubramanian and
                  Abhishek Dubey and
                  Lu Feng and
                  Mahsa Ghasemi and
                  Jonathan Sprinkle},
  title        = {FedAR+: {A} Federated Learning Approach to Appliance Recognition with
                  Mislabeled Data in Residential Environments},
  booktitle    = {Proceedings of the {ACM/IEEE} 14th International Conference on Cyber-Physical
                  Systems, {ICCPS} 2023, (with CPS-IoT Week 2023), San Antonio, TX,
                  USA, May 9-12, 2023},
  pages        = {78--87},
  publisher    = {{ACM}},
  year         = {2023},
  url          = {https://doi.org/10.1145/3576841.3585921},
  doi          = {10.1145/3576841.3585921},
  timestamp    = {Wed, 17 May 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/iccps/0012G023.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0