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In an era where artificial intelligence (AI) and machine learning (ML) are reshaping the landscape of computing, both networking and cryptography face significant challenges. Traditional networking solutions like Ethernet, InfiniBand, RDMA, RoCE, and TCP are proving insufficient to meet the demands of distributed AI/ML training workloads. Similarly, current cryptographic algorithms are threatened by the advent of quantum computing, necessitating the exploration of quantum-resistant methods. This workshop will provide a comprehensive overview of these challenges and explore current solutions, highlighting their limitations in addressing AI/ML complexities such as bandwidth bottlenecks, latency sensitivities, and security threats.
We will delve into the latest advancements in networking technologies designed to overcome these limitations, including Ultra Ethernet and Google’s Falcon protocol, as presented in our keynote sessions. The workshop will also address Fully Homomorphic Encryption (FHE) and its role in enabling universal computation on encrypted data, which will be covered in depth during our technical sessions. Additionally, the impact of quantum computing on security will be discussed, introducing post-quantum cryptographic methods designed to withstand these new threats. Participants will gain practical insights through our technical sessions on post-quantum cryptography and its applications.
The workshop will feature two deep dives: one focusing on data plane technologies and the other on cryptography in the quantum era. These sessions will provide deep insights into cutting-edge technologies and techniques, enhancing participants' understanding and skills in modern networking and cryptographic methods.By the end of the workshop, participants will have a solid understanding of the advanced networking and security technologies essential for supporting the AI/ML era, equipped with both theoretical knowledge and practical skills.