Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates

Summary: CELU-VFL uses cache-enabled local updates to cut cross-party communication. Uniform sampling of stale statistics with an instance-weighting scheme tame variance and staleness, preserving sub-linear convergence with up to 6× speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12896
Venue: VLDB
Year: 2022
Pagerank: 5.1319012e-05
Overall Rank: 10,114 | 30.61%
DOI: 10.14778/3547305.3547316

Incoming Non-self Citations Over Time

Authors

1. Fangcheng Fu (Peking University)
2. Xupeng Miao (Peking University)
3. Jiawei Jiang (Wuhan University)
4. Huanran Xue (Tencent)
5. Bin Cui (Peking University)

BibTeX Citation

@article{fu_vldb22,
        title = {{Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates}},
        author = {Fu, Fangcheng and Miao, Xupeng and Jiang, Jiawei and Xue, Huanran and Cui, Bin},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {10},
        pages = {2111--2120},
        doi = {10.14778/3547305.3547316},
        url = {https://doi.org/10.14778/3547305.3547316},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,034	Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent	2023	VLDB	5.502946e-05
8,883	FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement	2023	SIGMOD	5.351513e-05
9,881	The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format	2024	SIGMOD	5.2040783e-05
10,934	PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning	2025	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
518	Towards a Unified Architecture for in-RDBMS Analytics	2012	SIGMOD	0.00017167492
1,249	Privacy Preserving Vertical Federated Learning for Tree-based Models	2020	VLDB	0.00011495357
1,959	VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning	2021	SIGMOD	9.4090198e-05
2,485	HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework	2022	VLDB	8.5145736e-05
3,237	BlindFL: Vertical Federated Machine Learning without Peeking into Your Data	2022	SIGMOD	7.6089416e-05
4,083	SketchML: Accelerating Distributed Machine Learning with Data Sketches	2018	SIGMOD	6.9160949e-05
4,912	HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training	2022	SIGMOD	6.4481656e-05
6,339	In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle	2022	SIGMOD	5.907165e-05

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