Robert Hönig, Yiren Zhao, Robert Mullins. DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 8852-8866, PMLR, 2022. [doi]
@inproceedings{HonigZM22, title = {DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning}, author = {Robert Hönig and Yiren Zhao and Robert Mullins}, year = {2022}, url = {https://proceedings.mlr.press/v162/honig22a.html}, researchr = {https://researchr.org/publication/HonigZM22}, cites = {0}, citedby = {0}, pages = {8852-8866}, booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato}, volume = {162}, series = {Proceedings of Machine Learning Research}, publisher = {PMLR}, }