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: 12709
Venue: VLDB
Year: 2022
Pagerank: 4.2229209e-05
Overall Rank: 9,965 | 30.75%
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
7,535	Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent	2023	VLDB	4.7131061e-05
8,807	FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement	2023	SIGMOD	4.4413307e-05
9,787	The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format	2024	SIGMOD	4.2799988e-05
10,694	PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning	2025	VLDB	4.1905499e-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
638	Towards a Unified Architecture for in-RDBMS Analytics	2012	SIGMOD	0.00018810785
1,099	Privacy Preserving Vertical Federated Learning for Tree-based Models	2020	VLDB	0.00014063542
1,899	VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning	2021	SIGMOD	0.00010171063
2,678	HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework	2022	VLDB	8.3224016e-05
3,475	BlindFL: Vertical Federated Machine Learning without Peeking into Your Data	2022	SIGMOD	7.0590045e-05
3,810	SketchML: Accelerating Distributed Machine Learning with Data Sketches	2018	SIGMOD	6.7375383e-05
5,169	HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training	2022	SIGMOD	5.642415e-05
6,573	In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle	2022	SIGMOD	5.0009513e-05

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