25th International Conference on Distributed Computing and Networking

4th - 7th January 2024, Chennai, India

ICDCN 2024 Tutorial Speakers

Shlomi Dolev

Ben-Gurion University

Title: Post Quantum Internet
Abstract: The need for a post-quantum Internet is emerging, and this is a great opportunity to re-examine the legacy of public key infrastructure. There is a need for perspective on the evolution of cryptography over the years, including the perfect information-theoretical secure schemes and the computationally secure schemes, in particular. There is also a need to examine the evolving Internet infrastructure to identify efficient design and secure cryptographic schemes over the existing Internet infrastructure. A combination of overlay security, blockchain, and Merkle trees with Lamport’s signatures offers just such an easily implementable post-quantum Internet over the existing Internet. The proposed tutorial covers the basics of post-quantum techniques, one-time-pad (OTP), secret-sharing (SS), secure multi-party computation (SMPC), zero-knowledge proof (ZKP) based on SMPC in the head, Hash (SHA) based stateless signature (HBSS), Symmetric encryption (AES), Asymmetric encryption (Merkle puzzles, SVP), and post-quantum Blockchain.

Bio: Chair Professor, IEEE Fellow, EAI Fellow, and founding chair of the department of computer science of the Ben-Gurion University of the Negev, served as faculty of Natural Science Dean, Chair of the Board of the Inter-University Computation Center (IUCC first ISP of Israel). Currently, he is the Computer Science Discipline Committee Chair in the Israeli Education Ministry. He published more than 400 publications and patents in computer science, distributed computing, networks, cryptography, security, optical and quantum computing, nanotechnology, brain science, and machine learning. Dolev authored the Self-Stabilization book published by MIT Press and collaborated with Deutsche Telekom, IBM, Intel, DELLEMC, and others in multi-million dollar projects. He is a serial entrepreneur, the co-founder of Secret Double Octopus (doubleoctopus.com), SecretSkyDB post-quantum data in rest, and SodsBC (SodsBC.com) post-quantum fastest Blockchain.

Bapi Chatterjee

IIIT-Delhi, New Delhi, India

Title: Distributed Machine Learning
Abstract: This tutorial explores the landscape of distributed machine learning, focusing on advancements, challenges, and potential future directions in this rapidly evolving field. We delve into the motivation for distributed machine learning, its essential techniques, real-world applications, and open research questions. The theory covered in this tutorial will give an overview of proving the convergence of popular Stochastic Gradient Descent Algorithms to train contemporary machine learning models, including the deep learning models with the assumption of non-convexity, in a distributed setting. We will specify the convergence for various distributed systems properties, such as asynchronous and compressed communication. We will also discuss distributed machine learning techniques such as model parallelism and tensor parallelism to train large language models (LLMs).

Bio: Bapi Chatterjee is an Assistant Professor at IIIT Delhi. His research interests include Distributed Algorithms for Machine Learning and Shared-memory Data Structures. He has authored or co-authored publications that appeared at venues such as the PODC, AAAI, DISC, IPDPS, Theoretical Computer Science (TCS) Journal, etc. Before joining IIIT Delhi, he worked as a Postdoc Fellow at the Institute of Science and Technology Austria for two and a half years. Before that, he worked as a Researcher with IBM India Research Lab. He obtained a Ph.D. in Computer Science and Engineering from Chalmers University of Technology, Gothenburg, Sweden.

Balaji Palanisamy

University of Pittsburgh

Title: Efficient and Resilient Edge Computing: Algorithms, Techniques and Research Opportunities
Abstract: Recent years have witnessed a huge proliferation of low-cost devices connected in the Internet of Things. Given the large amounts of data generated by these devices at the edge of the network, there is an increasing need to process them near the network edge in order to meet the strict latency requirements of IoT applications. Edge computing is a new computing paradigm to improve the quality of service for such applications by filling the latency gaps between the IoT devices and the typical cloud infrastructures. While Micro Data Centers provide computing resources that are geographically distributed, careful management of these resources near the edge of the network is vital for ensuring efficient, cost-effective and resilient operation of the system while providing low-latency access for applications executing near the network edge. This talk provides an introduction to edge computing and introduces the notion of Micro Data Centers and illustrates the edge computing architecture. We will discuss the algorithms, techniques and design methodologies focusing on efficient and resilient resource allocation for latency-sensitive edge computing applications. Finally, we will cover some open research problems in this area and discuss potential directions of future work.

Bio: Balaji Palanisamy is an Associate Professor in the School of Computing and Information at the University of Pittsburgh. His research interests include Edge computing, Blockchains, data privacy, privacy-preserving system design and scalable resource management for distributed systems. He obtained his Ph.D. from Georgia Institute of Technology in 2013. At the University of Pittsburgh, he carries out research in the Laboratory of Research and Education on Security Assured Information Systems (LERSAIS). He is a recipient of IBM Faculty Award and his research has received Best Paper Awards at DBSec 2022, IEEE BigDataCongress 2018, IEEE BigDataCongress 2017, IEEE/ACM CCGrid 2015 and IEEE CLOUD 2012. He is an Associate Editor for the IEEE Transactions on Dependable and Secure Computing, IEEE TDSC and the IEEE Transactions on Services Computing, IEEE TSC journals.