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.

More details are at the workshop website: mlnetsec.cse.iith.ac.in

We invite researchers and practitioners to submit papers to the "Advanced Networking and Security for the AI/ML Era" workshop. Topics of interest include, but are not limited to:

• Network Stack Performance
• Network observability (Monitoring & Debugging)
• Protocol acceleration
• Application acceleration
• Transport-layer acceleration
• Modularization of network processing
• Performance Benchmarking
• Optimizing performance of Network Applications
• Improving Performance using Network Programmability
• Compiler optimizations for various network targets
• Offload across targets
• Resource management for network applications
• Security for network applications
• Trade-off between performance and security
• Network, Compute and Security implications of AI/ML Clusters
• Fully Homomorphic Encryption
• Quantum and Post Quantum Cryptography
• Languages and Compilers for Programmable Dataplanes
• Open Source Datapath Technologies
  • Vector Packet Processing (VPP)
  • Data Plane Development Kit (DPDK)
  • Open vSwitch (OVS)
  • XDP and eBPF
  • P4 and TDI

Submission Guidelines

Submissions must be original, unpublished work and not under consideration at another conference or journal. We encourage early-stage works and position/experience papers for early feedback. Submitted papers must be in standard ACM format and be at most 6 pages long, double-column, including figures, tables,  references, and appendices.

Contact

All questions about submissions should be emailed to praveent@cse.iith.ac.in and akamaluddin@marvell.com