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Benjamin Hong Meng Tan

Author ID: u49534
ORCID: -
Most Frequent Institution: Agency for Science, Technology and Research
Pagerank: 0.0075850978
Overall Rank: 12,123 | 43.98%
Paper Count: 1

Affiliation Timeline

Agency for Science, Technology and Research Most frequent 2022 | 1 papers

Incoming Non-self Citations Over Time

Total yearly non-self incoming citations across all papers by this author.

Publications by Paper Pagerank

Showing 1 of 1 publications.

Rank	Title	Year	Venue	Pagerank
6,539	Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy	2022	VLDB	5.7533709e-05