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Talks
The talks below are from Protocol Labs researchers or close collaborators about work done at PL. You may also be interested in the Research Seminar Series YouTube playlist, where we post invited talks from external speakers.
2021.2.23
Beyond swapping bits
Protocol Labs Research Talks / 2021.02.23
Alfonso de la Rocha
ResNetLab
Distributed systems , Networking
2021.2.9
Winkle: a decentralized checkpointing for proof-of-stake systems
Protocol Labs Research Talks / 2021.02.09
Sarah Azouvi
CryptoNetLab
Cryptography
2021.1.26
Verifiable computation on encrypted data
Protocol Labs Research Talks / 2021.01.26
Anca Nitulescu
Cryptography
2021.1.19
The Underlay: A distributed public knowledge graph
Protocol Labs Research Talks / 2021.01.19
Joel Gustafson
AbstractionLab
Knowledge engineering
2021.1.12
The Inter-Cranial Abstraction System (ICAS)
Protocol Labs Research Talks / 2021.01.12
Alan Ransil
AbstractionLab
Type theory
2020.12.17
Filecoin Circulating Supply
Storage Markets Summit / 2020.12.17
Colin Evran, Zixuan (ZX) Zhang
CryptoEconLab
Cryptoeconomics
2020.12.17
Filecoin Economy Deep Dive
Storage Markets Summit / 2020.12.17
Zixuan (ZX) Zhang
CryptoEconLab
Cryptoeconomics
2020.12.9
Enabling plug and play transactive energy on legacy power grids
IEEE TESC 2020 / 2020.12.09
Michael Hammersley
AbstractionLab
Distributed power systems
2020.11.27
A Technical Dive Into Filecoin’s Tokeneconomics
The Delphi Podcast / 2020.12.17
Colin Evran, Zixuan (ZX) Zhang
CryptoEconLab
Cryptoeconomics
2020.10.22
The Filecoin Storage Economy
Filecoin Liftoff Week / 2020.10.22
Zixuan (ZX) Zhang
CryptoEconLab
Cryptoeconomics
2020.7.1
Vector commitment techniques and applications to verifiable decentralized storage
Theory and Practice of Blockchains 2020 / 2020.07.01
Matteo Campanelli, Dario Fiore, Nicola Greco , Luca Nizzardo , Dimitris Kolonelos
CryptoNetLab
Cryptography
2020.3.25
Decentralized energy grid: A Protocol Labs independent research project
Protocol Labs Research Talks / 2020.03.25
Michael Hammersley , Alan Ransil
AbstractionLab
Distributed power systems
2020.3.4
Drand: Distributed, bias resistant, unpredictable and publicly verifiable randomness
Protocol Labs Research Talks / 2020.03.04
Nicolas Gailly
CryptoNetLab
Distributed systems
2019.9.6
Dioptics: A common generalization of open games and gradient-based learners
SYCO 5 / 2019.09.06 / Birmingham, UK
David Dalrymple
AbstractionLab
Applied category theory
2019.2.2
Consensus hierarchies
ConsensusDay 1 / 2019.02.02 / Stanford, CA, USA
Juan Benet
Distributed systems
2019.2.2
Expected consensus
ConsensusDay 1 / 2019.02.02 / Stanford, CA, USA
Henri Stern
CryptoNetLab , CryptoComputeLab
Distributed systems
2019.2.2
Mergeable consensus
ConsensusDay 1 / 2019.02.02 / Stanford, CA, USA
Evan Miyazono
Distributed systems
2019.2.2
New directions in consensus
ConsensusDay 1 / 2019.02.02 / Stanford, CA, USA
Juan Benet
Distributed systems
2019.2.2
Single secret leader election
ConsensusDay 1 / 2019.02.02 / Stanford, CA, USA
Brian Vohaska
Cryptography , Distributed systems
2018.10.23
Developing an open source energy trading protocol
Lab Day 2018 / 2018.10.23 / San Francisco, CA, USA
Alan Ransil
AbstractionLab
Distributed power systems
2018.10.23
IPLD research and future directions
Lab Day 2018 / 2018.10.23 / San Francisco, CA, USA
David Dalrymple
AbstractionLab
Distributed systems , Type theory
2018.10.23
PoReps: Proof of space on real data
Lab Day 2018 / 2018.10.23 / San Francisco, CA, USA
Ben Fisch
CryptoNetLab , CryptoComputeLab
Cryptography , Distributed systems
2018.10.23
The Underlay: The inevitable future of knowledge
Lab Day 2018 / 2018.10.23 / San Francisco, CA, USA
Joel Gustafson
AbstractionLab
Knowledge engineering
2018.6.28
Good SNARKs are here needed
Zcon0 / 2018.06.28 / Montréal, Canada
Nicola Greco
CryptoNetLab
Cryptography
2018.2.3
VDFs and Filecoin
VDF Day / 2018.02.03 / Stanford, CA, USA
Jeromy Johnson
CryptoNetLab
Cryptography , Distributed systems
2018.1.26
Proof of replication using depth robust graphs
BPASE 18 / 2018.01.26 / Stanford, CA, USA
Ben Fisch
Cryptography , Distributed systems