WELCOME IEEE ISIT 2020

2020 IEEE International Symposium on Information Theory

IEEE International Symposium on Information Theory (ISIT) is the premier international conference dedicated to the advancement of information theory and related areas. It brings together an international community of researchers and practitioners each year in the field of information theory to present and discuss new research results and perspectives on future developments relevant to all areas of information theory, including big data analytics, source and channel coding, communication theory and systems, cryptography and security, detection and estimation, emerging applications, networks, network coding/information theory, signal processing, and statistical/machine learning.

Hosted by the IEEE Information Theory Society, the 2020 (virtual) ISIT will feature contributed papers, the Shannon lecture and plenary talks, as well as panel/tutorial sessions.

We hope that you will enjoy the virtual IEEE ISIT 2020.

Salman Avestimehr, Giuseppe Caire, and Babak Hassibi
General Co-Chairs of IEEE ISIT 2020

https://2020.ieee-isit-virtual.org/presentation/lecture/computing-partition-function-sherrington-kirkpatrick-model-hard-average
https://2020.ieee-isit-virtual.org/presentation/lecture/entanglement-assisted-data-transmission-enabling-technology-link-layer
https://2020.ieee-isit-virtual.org/presentation/lecture/explicit-renyi-entropy-hidden-markov-models
https://www.tables-de-multiplication.com

PROGRAM

Shannon Lecturer

Charles H. Bennett
IBM Research

Shannon Lecture: Charles H. Bennett - Quantum Information’s Birth, Growth, And Significance

Plenary Speakers

Max Welling
University of Amsterdam and Qualcomm

Max Welling - Neural Augmentation In Wireless Communication

Venkat Anantharam
University of California, Berkeley

Venkat Anantharam - Gone Fishin’

Olgica Milenkovic
University of Illinois Urbana-Champaign

Olgica Milenkovic - Coded String Reconstruction Problems

Pablo Parrilo
Massachusetts Institute of Technology

Pablo Parrilo - Sum Of Squares — Where Are We, And Where To Go?

Conference Tracks

IEEE ISIT 2020 has a number of tracks to help guide you to your areas of interest.

• Algebraic and Combinatorial Coding Theory
• Coded and Distributed Computation
• Coding for Communications
• Coding for Storage and Memories
• Cryptography, Security and Privacy
• Detection and Estimation
• Graphs, Games, Sparsity, and Signal Processing
• Industry Program
• Jack K. Wolf Student Paper Award Finalists
• Network Information Theory
• Networking and Network Coding
• Quantum Systems, Codes, and Information
• Shannon Theory
• Source Coding
• Statistics and Learning Theory
• Student and Outreach Activities
• Topics in Information Theory
• Wireless Communications

Session Program

Find and plan your virtual experience.
All times noted are Pacific Daylight Time (PDT)

ALGEBRAIC AND COMBINATORIAL CODING THEORY

• Algebraic Coding Theory I
• Algebraic Coding Theory II
• Combinatorial Coding Theory I
• Combinatorial Coding Theory II
• Combinatorics and Information Theory

CODED AND DISTRIBUTED COMPUTATION

• Coded Computation
• Coding for Specialized Computations
• Distributed Matrix Multiplication

CODING FOR COMMUNICATIONS

• Coding for Communications I
• Coding for Communications II
• Iterative Decoding
• LDPC Codes
• List Decoding
• Polar Codes I
• Polar Codes II
• Spatially Coupled Codes
• Streaming Codes
• Topics in Coding Theory

CODING FOR STORAGE AND MEMORIES

• Codes for Distributed Storage I
• Codes for Distributed Storage II
• Codes for Distributed Storage III
• Codes for Distributed Storage IV
• Coding for Storage and Memories I
• Coding for Storage and Memories II
• Insertion Deletion Substitution Codes I
• Insertion Deletion Substitution Codes II
• Topics in Coding for Storage and Memories

CRYPTOGRAPHY, SECURITY AND PRIVACY

• Covert Communications
• Cryptography
• Information Privacy I
• Information Privacy II
• Information Theoretic Security I
• Information Theoretic Security II
• Information Theoretic Security III
• Private Information Retrieval I
• Private Information Retrieval II
• Private Information Retrieval III
• Topics in Privacy and Cryptography

DETECTION AND ESTIMATION

• Detection and Applications
• Detection Theory
• Estimation and Applications
• Estimation Theory
• Hypothesis Testing I
• Hypothesis Testing II

GRAPHS, GAMES, SPARSITY, AND SIGNAL PROCESSING

• Compressed Sensing
• Game Theory
• Graph Analytics
• Group Testing and Sparse Codes
• Signal Processing
• INDUSTRY PROGRAM
• Industry Session

JACK K. WOLF STUDENT PAPER AWARD FINALISTS

• Jack K. Wolf Student Paper Award Finalists

NETWORK INFORMATION THEORY

• Broadcast Channel I
• Broadcast Channel II
• Interference Channel I
• Interference Channel II
• Network Information Theory
• Relay Channel

NETWORKING AND NETWORK CODING

• Age of Information I
• Age of Information II
• Coded Caching I
• Coded Caching II
• Index Coding
• Network Coding I
• Network Coding II
• Timely Updates

QUANTUM SYSTEMS, CODES, AND INFORMATION

• Quantum Communication
• Quantum Compression
• Quantum Error Correcting Codes and Decoding
• Quantum Information Theory
• Quantum Key Distribution
• Quantum Networks
• Quantum Security

SHANNON THEORY

• Capacity Computation
• Channel Capacity
• Channels with Feedback
• Channels with State
• Error Exponents
• Finite-blocklength Analysis
• Guessing
• Information Inequalities
• Information Measures I
• Information Measures II
• Renyi Entropy
• Second-order Analysis
• Topics in Shannon Theory

SOURCE CODING

• Data Compression
• Lossy Source Coding
• Multi-terminal Source Coding I
• Multi-terminal Source Coding II
• Topics in Source Coding

STATISTICS AND LEARNING THEORY

• Application-Specific Learning
• Classification
• Distributed Learning Performance Analysis
• Distribution Learning
• Federated Learning
• Gradient-Based Distributed Learning
• High-dimensional Statistics
• Learning and Message-Passing
• Learning Methods and Networks
• Learning Theory I
• Learning Theory II
• Multi-Arm Bandits
• Online, Active, and Transfer Learning

TOPICS IN INFORMATION THEORY

• Complexity and Computation Theory
• Information and Control
• Information Theory and Biology
• Sequences

WIRELESS COMMUNICATIONS

• Cellular Networks
• Intelligent Surface
• Random Access I
• Random Access II
• Wireless Communications

Activities

Perspective Of Online Teaching And Learning From Our Community

ABOUT THE SESSION

Due to the COVID-19 pandemic, the world has abruptly pivoted towards remote education in the past few months. While online classes pose many challenges, such as restricted social interactions, they can provide several advantages such as increased flexibility and convenience compared to in-person learning.

The Student and Outreach Subcommittee has reached out to several members of the Information Theory community and asked them to share their perspective on online teaching and learning.

Watch these exclusive videos to hear how your colleagues have been adopting different education technologies, especially during these unprecedented times.

SESSION PRESENTATIONS

• Perspective Of Online Teaching And Learning: Trailer
• Meet The Interviewees
• Learning Online
• Teaching & Presenting Online
• Online Future

Meet The Shannon Lecturer

ABOUT THE SESSION

The Claude E. Shannon Award of the Information Theory Society has been instituted to honor consistent and profound contributions to information theory and is one of the highest awards bestowed on researchers in the field of information theory. The 2020 Shannon Award recipient Charles H. Bennett has made significant contributions to the study of quantum information theory and quantum cryptography.

In this exclusive recorded interview, organized into three parts and conducted by Dr. Min-Hsiu Hsieh and Dr. David Sutter, Dr. Charles H. Bennett shares his past academic experiences, and his insights regarding the past, present, and future of quantum information theory research.

SESSION PRESENTATIONS

• Meet The Shannon Lecturer: Trailer
• Meet The Shannon Lecturer: Part I
• Meet The Shannon Lecturer: Part II
• Meet The Shannon Lecturer: Part III

Student Video Exposition

ABOUT THE SESSION

ISIT has always been a unique opportunity to connect with students who share similar interests. Also this year, we have tried to keep this social component alive. In this special online challenge, students registered to ISIT were able to team up with students from other universities to create videos explaining an easy concept related to information theory to high school students.

Watch the three winning videos that were selected by a jury composed by the well-known in the IT community Brit Cruise, as well as Giovanni Caire (high school student) and Serena Nicoll (undergraduate student).

SESSION PRESENTATIONS

• Video 1
• Video 2
• Video 3

TUTORIALS/PANELS

PT-1 Machine-learning based approaches to coding

Presenters

• Pramod Viswanath,
• Andrea Goldsmith,
• Hyeji Kim,
• Rashmi Vinayak

PT-2 Coded Computing

Presenters

• Salman Avestimehr,
• Viveck Cadambe,
• Suhas Diggavi

ABSTRACT

Coded computing is a novel computing paradigm that utilizes coding theory to effectively inject and leverage data/computation redundancy to mitigate several fundamental bottlenecks in large-scale distributed computing, namely communication bandwidth, straggler’s (i.e., slow or failing nodes) delay, privacy and security bottlenecks. This tutorial/panel provides a brief overview of coded computing, highlights several exciting recent/future research directions in this area, and ends with Q&A with participants/panelists on coded computing.

PT-3 Fundamentals of Blockchain Systems

Presenters

• David Tse,
• Ari Juels,
• Elaine Shi,
• Sreeram Kannan

ABSTRACT

Blockchains such as Bitcoin and Ethereum have created a mechanism for secure decentralized computing in the presence of malicious and selfish nodes. In this tutorial, we will survey some of the fundamental problems in blockchain systems, including security, scalability, confirmation latency and fairness. We will highlight how applied probability, information and coding theory can play an important role in solving these problems. No prior background will be assumed.

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