ML807: Federated Learning
TB = Textbook or Required reading 
REF = Reference or supplemental reading
| Type | ........... | Title |
Ebook |
|
Call Number |
|
 |
P. Kairouz, H. B. McMahan, B. Avent, A. Bellet, M. Bennis, A. N. Bhagoji, K. Bonawitz, Z. Charles, G. Cormode, R. Cummings et al., “Advances and open problems in federated learning,” Foundations and Trends® in Machine Learning, vol. 14, no. 1–2, pp. 1–210, 2021. |
NA | ||
|
|
J. Wang, Z. Charles, Z. Xu, G. Joshi, H. B. McMahan, M. Al-Shedivat, G. Andrew, S. Avestimehr, K. Daly, D. Data et al., “A field guide to federated optimization,” arXiv preprint arXiv:2107.06917, 2021. | Open Access | NA | |
|
|
T. Li, A. K. Sahu, A. Talwalkar, and V. Smith, “Federated learning: Challenges, methods, and future directions,” IEEE Signal Processing Magazine, vol. 37, no. 3, pp. 50–60, 2020. | Open Access | NA | |
|
|
J. Ding, E. Tramel, A. K. Sahu, S. Wu, S. Avestimehr, and T. Zhang, “Federated learning challenges and opportunities: An outlook,” arXiv preprint arXiv:2202.00807. | Open Access | NA |