EDBT 2026 Demo / reviewers in the wild / expert
Omer Bilgen
dblp:205/3238
· DBLP profile ↗
6ranked-venue papers
6as first author
1since 2021 · last 2023
0000-0001-6898-6337ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 3 first-authorTheory of computation · 2 · 2 first-author · 1 since 2021Computer networks · 1 · 1 first-author
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 |
Coding theory · 88% Information theory · 12% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Distributed systems · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
peer-to-peer systems |
0.7 | 2 | 2020 | A New Stable Peer-to-Peer Protocol With Non-Persistent Peers: The Group Suppression Protocol · IEEE Trans. Inf. Theory 2020 A new stable peer-to-peer protocol with non-persistent peers · INFOCOM 2017 |
Coding theory › source coding
multiterminal source coding |
0.7 | 1 | 2023 | Rate Region of the One-Help-Two Quadratic Gaussian Source-Coding Problem With Markovity · IEEE Trans. Inf. Theory 2023 |
Coding theory
source coding |
0.7 | 1 | 2023 | Rate Region of the One-Help-Two Quadratic Gaussian Source-Coding Problem With Markovity · IEEE Trans. Inf. Theory 2023 |
Distributed systems › peer-to-peer systems
missing piece syndrome |
0.4 | 1 | 2020 | A New Stable Peer-to-Peer Protocol With Non-Persistent Peers: The Group Suppression Protocol · IEEE Trans. Inf. Theory 2020 |
Distributed systems › peer-to-peer systems › peer-to-peer architecture
peer-to-peer protocols |
0.4 | 1 | 2020 | A New Stable Peer-to-Peer Protocol With Non-Persistent Peers: The Group Suppression Protocol · IEEE Trans. Inf. Theory 2020 |
Coding theory › source coding › gaussian source
quadratic gaussian source coding |
0.2 | 1 | 2023 | Rate Region of the One-Help-Two Quadratic Gaussian Source-Coding Problem With Markovity · IEEE Trans. Inf. Theory 2023 |
Information theory › network information theory
rate region |
0.2 | 1 | 2023 | Rate Region of the One-Help-Two Quadratic Gaussian Source-Coding Problem With Markovity · IEEE Trans. Inf. Theory 2023 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.7markov chain modeling · 0.7high-resolution analysis · 0.7lyapunov potential function · 0.4lyapunov analysis · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Rate Region of the One-Help-Two Quadratic Gaussian Source-Coding Problem With MarkovityabstractWe study the quadratic Gaussian one-help-two source-coding problem with Markovity, in which three encoders separately encode the components of a memoryless vector-Gaussian source that form a Markov chain and the central decoder aims to reproduce the first and the second components in the chain subject to individual mean-squared distortion constraints. We determine the rate region under a high-resolution assumption for the middle source. Omer Bilgen, Aaron B. Wagner |
IEEE Trans. Inf. Theory | 1 |
| 2020 | Gaussian Multiterminal Source-Coding with Markovity: An Efficiently-Computable Outer Bound
Omer Bilgen, Aaron B. Wagner |
ISIT | 1 |
| 2020 | A New Stable Peer-to-Peer Protocol With Non-Persistent Peers: The Group Suppression ProtocolabstractRecent studies have suggested that the stability of peer-to-peer networks may rely on persistent peers, who dwell on the network after they obtain the entire file. In the absence of such peers, one piece becomes extremely rare in the network, which leads to instability. Technological developments, however, are poised to reduce the incidence of persistent peers, giving rise to a need for a protocol that guarantees stability with non-persistent peers. We propose a novel peer-to-peer protocol, the group suppression protocol, to ensure the stability of peer-to-peer networks under the scenario that all the peers adopt non-persistent behavior. Using a suitable Lyapunov potential function, the group suppression protocol is proven to be stable when the file is broken into two pieces, and detailed experiments demonstrate the stability of the protocol for arbitrary number of pieces. We define and simulate a decentralized version of this protocol for practical applications. Straightforward incorporation of the group suppression protocol into BitTorrent while retaining most of BitTorrent's core mechanisms is also presented. Subsequent simulations show that under certain assumptions, BitTorrent with the official protocol cannot escape from the missing piece syndrome, but BitTorrent with group suppression does. Omer Bilgen, Aaron B. Wagner |
IEEE Trans. Inf. Theory | 1 |
| 2019 | A New Proof for the Quadratic Gaussian Two-Encoder Source-Coding ProblemabstractThis paper revisits the quadratic Gaussian two-encoder source-coding problem, for which a Gaussian quantize-and-bin scheme, also known as the Berger-Tung scheme, is known to achieve the entire rate region. We present a new proof of the impossibility half of the rate-region optimality result that is arguably more direct. Omer Bilgen, Aaron B. Wagner |
ISIT | 1 |
| 2018 | The Quadratic Gaussian One-Help-Two Source-Coding Problem with MarkovityabstractWe consider the quadratic Gaussian one-help-two source-coding problem with Markovity, in which three encoders separately encode the components of a memoryless vector-Gaussian source that form a Markov chain and the central decoder aims to reproduce the first and the second components in the chain subject to individual distortion constraints. For this problem, we determine the minimum sum rate of the first and the second encoder given the distortion constraints and the rate of the third encoder. In particular, a simple scheme consisting of vector quantization followed by Slepian-Wolf binning achieves this minimum sum-rate. The proof of the converse draws from the quadratic Gaussian two-encoder source-coding problem, the Gaussian scalar-help-vector source-coding problem, and the Gaussian many-help-one source-coding problem. Omer Bilgen, Aaron B. Wagner |
ISIT | 1 |
| 2017 | A new stable peer-to-peer protocol with non-persistent peersabstractRecent studies have suggested that the stability of peer-to-peer networks may rely on persistent peers, who dwell on the network after they obtain the entire file. In the absence of such peers, one piece becomes extremely rare in the network, which leads to instability. Technological developments, however, are poised to reduce the incidence of persistent peers, giving rise to a need for a protocol that guarantees stability with nonpersistent peers. We propose a novel peer-to-peer protocol, the group suppression protocol, to ensure the stability of peer-to-peer networks under the scenario that all the peers adopt non-persistent behavior. Using a suitable Lyapunov potential function, the group suppression protocol is proven to be stable when the file is broken into two pieces, and detailed experiments demonstrate the stability of the protocol for arbitrary number of pieces. Straightforward incorporation of the group suppression protocol into BitTorrent while retaining most of BitTorrent's core mechanisms is also presented. Subsequent simulations show that under certain assumptions, BitTorrent with the official protocol cannot escape from the missing piece syndrome, but BitTorrent with group suppression does. Omer Bilgen, Aaron B. Wagner |
INFOCOM | 1 |