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: 12708
Venue: VLDB
Year: 2022
Pagerank: 4.2269436e-05
Overall Rank: 9,966 | 30.67%
DOI: 10.14778/3547305.3547316

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,536	Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent	2023	VLDB	4.7176331e-05
8,808	FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement	2023	SIGMOD	4.4454035e-05
9,806	The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format	2024	SIGMOD	4.2805224e-05
10,686	PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning	2025	VLDB	4.1945683e-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
658	Towards a Unified Architecture for in-RDBMS Analytics	2012	SIGMOD	0.00018506577
1,143	Privacy Preserving Vertical Federated Learning for Tree-based Models	2020	VLDB	0.00013710269
1,895	VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning	2021	SIGMOD	0.00010180896
2,677	HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework	2022	VLDB	8.3268401e-05
3,506	BlindFL: Vertical Federated Machine Learning without Peeking into Your Data	2022	SIGMOD	7.0291192e-05
3,808	SketchML: Accelerating Distributed Machine Learning with Data Sketches	2018	SIGMOD	6.7455428e-05
5,052	HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training	2022	SIGMOD	5.7337977e-05
5,084	In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle	2022	SIGMOD	5.7091191e-05

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