We invite researchers to submit work in (but not limited to) the following areas:
- Personalized Federated Learning and/or Meta Learning.
- Differential Privacy in Federated Learning.
- Fairness in Federated Learning.
- Optimization for Large-Scale Federated Learning Systems.
- Certifiable Robustness for Federated Learning.
- Trustworthiness, Auditability and Verification in Federated Learning.
- Model Aggregation and Protecting Personal Data Ownership.
Submissions will be double blind: Reviewers will not see author names while reviewing, and authors will not know the identities of their reviewers. We use CMT to host paper submissions and allow for disseminating paper reviews and recommendations. The program will include keynote presentations from the invited speakers, oral presentations and posters.
Authors can revise their papers as many times as needed up to the paper submission deadline (see below). Changes to paper will not be allowed once the submission deadline has passed. Papers must be submitted using CMT. We will open the submission site in August. Each submission is expected to strictly conform to NeurIPS-2021 format and an upper limit of 7 pages for the main text, with unlimited additional pages for references. Authors might also use as many pages of appendices as they wish but the reviewers are not required to read these. Authors have the right to withdraw papers from consideration at any time.
Note that accepted papers are considered workshop papers and can be submitted/published elsewhere. Published papers in this workshop are non-archival but will be stored permanently on the workshop website.
Submission Site: https://cmt3.research.microsoft.com/NFFL2021/
- Submission Deadline: 01 October 2021 (AoE)
- Author Notification: 22 October 2021 (6:00 PM ET)
- Final Paper Due: 08 November 2021 (6:00 PM ET)
- Workshop Date: 13 December 2021 (ET)
For each accepted paper,
at least one author must attend the workshop to present the work. Among the accepted papers, we will select 6 outstanding works to be presented as contributed talks. Each talk is allocated a 15-minute slot including Q/A.