Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Authors: Xiaotong Yuan, Ping Li
NeurIPS 2022 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Our work is focused on providing deeper theoretical understandings of Fed Prox and its stochastic variants under milder conditions. 3. If you ran experiments... [N/A] Our work is focused on providing deeper theoretical understandings of Fed Prox and its stochastic variants under milder conditions. |
| Researcher Affiliation | Collaboration | Xiao-Tong Yuan Nanjing Univ. of Information Sci. & Tech. 219 Ningliu Rd, Nanjing, China EMAIL Ping Li Linked In Ads 700 Bellevue Way NE, Bellevue, WA, USA EMAIL |
| Pseudocode | Yes | Algorithm 1: Fed MSPP: Federated Minibatch Stochastic Proximal Point |
| Open Source Code | No | 4. If you are using existing assets (e.g., code, data, models) or curating/releasing new assets... [N/A] We did not use any of such assets in this work. |
| Open Datasets | No | 3. If you ran experiments... [N/A] Our work is focused on providing deeper theoretical understandings of Fed Prox and its stochastic variants under milder conditions. |
| Dataset Splits | No | 3. If you ran experiments... [N/A] Our work is focused on providing deeper theoretical understandings of Fed Prox and its stochastic variants under milder conditions. |
| Hardware Specification | No | 3. If you ran experiments... [N/A] Our work is focused on providing deeper theoretical understandings of Fed Prox and its stochastic variants under milder conditions. |
| Software Dependencies | No | The paper does not describe experimental implementations and therefore does not list specific software dependencies with version numbers. |
| Experiment Setup | No | 3. If you ran experiments... [N/A] Our work is focused on providing deeper theoretical understandings of Fed Prox and its stochastic variants under milder conditions. |