FEC: Efficient Deep Recommendation Model Training with Flexible Embedding Communication

Summary: FEC uses embedding tiering and pre-fetching to cut embedding communication in EDRMs. AllReduce aggregates popular embeddings to mimic dense access; pre-fetching hides updates, delivering up to 6.65x embedding-communication and 2.42x throughput. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6668
Venue: SIGMOD
Year: 2023
Pagerank: 4.3980444e-05
Overall Rank: 9,094 | 36.74%
DOI: 10.1145/3589310

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,737	Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models	2025	SIGMOD	4.456315e-05
9,806	The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format	2024	SIGMOD	4.2805224e-05
10,472	CARINA: An Efficient CXL-Oriented Embedding Serving System for Recommendation Models	2025	SIGMOD	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
747	Middle-Tier Database Caching for e-Business	2002	SIGMOD	0.00017278346
2,677	HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework	2022	VLDB	8.3268401e-05
2,688	Accelerating Recommendation System Training by Leveraging Popular Choices	2022	VLDB	8.2991144e-05
4,184	CoroBase: Coroutine-Oriented Main-Memory Database Engine	2021	VLDB	6.3779731e-05
4,861	OctopusFS: A Distributed File System with Tiered Storage Management	2017	SIGMOD	5.8708916e-05
6,104	Automating Distributed Tiered Storage Management in Cluster Computing	2020	VLDB	5.2080102e-05

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