Database Paper Browser

Back to papers

Federated Heavy Hitter Analytics with Local Differential Privacy

Summary: Introduces a target-aligning prefix-tree mechanism with epsilon-LDP for federated heavy hitter analytics. Adaptive extension balances prefix coverage with local heavy hitter estimation; consensus pruning uses cross-party priors to reveal hitters. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7078
Venue
SIGMOD
Year
2025
Pagerank
6.4381114e-05
Overall Rank
4,115 | 71.38%
DOI
10.1145/3709739

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers