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Information Theory Society presents the key concepts needed to understand low-density parity-check codes (LDPC codes). It's a blend of repetition…
LDPC CodesCoding
IEEE ISIT 2020, Los Angeles (Virtual)
Tutorial Lecture
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TutorialCoded Computing
IEEE ISIT 2020, Los Angeles (Virtual)
Tutorial Lecture
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TutorialBlockchain
Winner of the ISIT 2021 Student Video Contest
Students: Yuxin Liu and Sarah Bahanshalhttps://2021.ieee-isit.org/Challenge.asp
LDPC CodesPolar Codes
Laurent Schmalen's short lecture at the 2020 European School of Information Theory Stuttgart, Germany
LDPC Codes
IEEE ITW 2020, Riva del Garda, Italy
Plenary Lecture
ITW Plenary LecturePlenary Lecture
IEEE ITW 2021, Virtually from Kanazawa, Japan
Tutorial Lecture
Private Information RetrievalSecrecyCoded Computing
IEEE ITW 2020, Riva del Garda, Italy
Plenary Lecture
ITW Plenary LecturePlenary Lecture
IEEE ISIT 2020, Los Angeles (Virtual)
Plenary Lecture
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ISIT Plenary LecturePlenary LectureInformation Theory in Biology
Winner of the ISIT 2021 Student Video Contest
Students: Mohammad Ishtiyaq Qureshi and Olusola Odeyomihttps://2021.ieee-isit.org/Challenge.asp
Blockchain
IEEE ITW 2020, Riva del Garda, Italy
Tutorial
Deep LearningDistributed LearningTutorial
IEEE ITW 2020, Riva del Garda, Italy
Plenary Lecture
ITW Plenary LecturePlenary Lecture
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machines learningDistributed LearningDistributed Systems
Swanand Kadhe's full lecture at the 2020 European School of Information Theory Stuttgart, Germany
BlockchainCoding Theory
IEEE ITW 2020, Riva del Garda, Italy
Plenary Lecture
ITW Plenary LecturePlenary Lecture
IEEE ITW 2020, Riva del Garda, Italy
Plenary Lecture
ITW Plenary LecturePlenary Lecture
IEEE ITW 2020, Riva del Garda, Italy
Plenary Lecture
ITW Plenary LecturePlenary Lecture
Ayfer Özgür's full lecture at the 2020 European School of Information Theory Stuttgart, Germany
Distributed Learning
Plenary Talk
2022 North American School of Information Theory
UCLA, Los Angeles, August 16-19, 2022.
Machines learningDistributed LearningDistributed Systems