OFL-W3: A One-shot Federated Learning System on Web 3.0
Summary: OFL-W3 implements one-shot federated learning for Web 3.0, reducing blockchain-incompatible client–server rounds to a single exchange. Smart contracts manage transactions and incentives, while IPFS plus Flask supports backend aggregation and existing one-shot FL algorithms. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Linshan Jiang (National University of Singapore)
- 2. Moming Duan (National University of Singapore)
- 3. Bingsheng He (National University of Singapore)
- 4. Yulin Sun (Shanghai Jiao Tong University)
- 5. Peishen Yan (Shanghai Jiao Tong University)
- 6. Yang Hua (Queen's University Belfast)
- 7. Tao Song (Shanghai Jiao Tong University)
BibTeX Citation
@article{jiang_vldb24,
title = {{OFL-W3: A One-shot Federated Learning System on Web 3.0}},
author = {Jiang, Linshan and Duan, Moming and He, Bingsheng and Sun, Yulin and Yan, Peishen and Hua, Yang and Song, Tao},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4461--4464},
doi = {10.14778/3685800.3685900},
url = {https://doi.org/10.14778/3685800.3685900},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,959 | Federated and Balanced Clustering for High-dimensional Data | 2025 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next