Demo Data from VLDB 2026 / reviewers in the wild / expert
Bhavana Mamillapalli
dblp:300/8649
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0002-4017-8343ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Information theory · 88% Distributed computing theory · 12% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › network information theory › caching network
coded caching |
0.5 | 1 | 2021 | Subexponential and Linear Subpacketization Coded Caching via Projective Geometry · IEEE Trans. Inf. Theory 2021 |
Information theory › network information theory › caching network › coded caching
sub-packetization |
0.5 | 1 | 2021 | Subexponential and Linear Subpacketization Coded Caching via Projective Geometry · IEEE Trans. Inf. Theory 2021 |
Distributed computing theory
distributed algorithms |
0.1 | 1 | 2021 | Subexponential and Linear Subpacketization Coded Caching via Projective Geometry · IEEE Trans. Inf. Theory 2021 |
Information theory › network information theory
interference channel |
0.1 | 1 | 2021 | Subexponential and Linear Subpacketization Coded Caching via Projective Geometry · IEEE Trans. Inf. Theory 2021 |
Methods — techniques the papers use, named apart from their topics
projective geometry over finite fields · 0.5information-theoretic lower bound · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Subexponential and Linear Subpacketization Coded Caching via Projective GeometryabstractLarge gains in the rate of cache-aided broadcast communication are obtained using coded caching, but to obtain this most existing centralized coded caching schemes require that the files at the server be divisible into a large number of parts (this number is called subpacketization). In fact, most schemes require the subpacketization to be growing asymptotically as exponential in √[\leftroot -1\uproot 1r]K for some positive integer r and K being the number of users. On the other extreme, few schemes having subpacketization linear in K are known; however, they require large number of users to exist, or they offer only little gain in the rate. In this work, we propose two new centralized coded caching schemes with low subpacketization and moderate rate gains utilizing projective geometries over finite fields. Both the schemes achieve the same asymptotic subpacketization, which is exponential in O((logK)2) (thus improving on the √[\leftroot -1\uproot 1r]K exponent). The first scheme has a larger cache requirement but has at most a constant rate (with increasing K), while the second has small cache requirement but has a larger rate. As a special case of our second scheme, we get a new linear subpacketization scheme, which has a more flexible range of parameters than the existing linear subpacketization schemes. Extending our techniques, we also obtain low subpacketization schemes for other multi-receiver settings such as distributed computing and the cache-aided interference channel. We validate the performance of all our schemes via extensive numerical comparisons. For a special class of symmetric caching schemes with a given subpacketization level, we propose two new information theoretic lower bounds on the optimal rate of coded caching. Hari Hara Suthan C, Prasad Krishnan, K. V. Sushena Sree, Bhavana Mamillapalli |
IEEE Trans. Inf. Theory | 4 |