MLNetSecWorkshop 2025
Jan 7, 2025
Indian Institute of Technology, Hyderabad
MLNetSec: Advancing Networking and Security for AI/ML Era
Call for papers
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.
Topics of Interest
Topics of interest include but not limited to:
- Network stack Performance characteristics
- Network Observability (Monitoring & Debugging)
- Protocol Acceleration
- Load balancing for distributed learning
- Application Acceleration
- Cross-layer optimizations
- Network traffic characterization for AI workload
- Transport-layer acceleration for AI workload
- Modularization of Network Processing
- Performance Benchmarking
- Optimizing Performance of Network Applications
- Improving Performance using Network Programmability
- Languages and compiler Optimizations for Various Network Targets
- Network function 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
- Enhancing 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- Submissions must be original, unpublished work, and not under consideration at another conference or journal.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, position/experience papers for early feedback.
- Submitted papers must be at most 6 pages long, double-column, including figures, tables, references, and appendices, in standard ACM format.
- We follow double-blind review process. We request authors to keep their details anonymous during the submission.
- Accepted papers will appear as per the new open-access publishing model for ACM (more details below)
- Atleast one of the authors is required to present accepted papers at the workshop for the paper to appear in the ACM ICPS. Exceptions from this policy for occasional situations must be approved by the Workshop chairs before the beginning of the workshop.
Submit Your Paper
We invite researchers and practitioners to submit papers to the "Advancing Networking and Security
Technologies for AI/ML Era" workshop.
Submit your paper: EasyChair Submission Link
New Open Access Publishing Model for ACM
Please note that ACM has moved to a new open access publishing model for all conference proceedings to be published via ACM ICPS. The authors have to pay an Article Processing Charge (APC) to ACM (which is beyond the regular conference registration fee) if the corresponding author’s organization is not a member of the ACM Open program. Please check the details through this link: author guidance. Several institutes across the globe are already members of the ACM Open program. The authors can use the following link to check if their organization is a member under the ACM Open program: members of acm open program For any clarifications, please contact icps[hyphen]info[at]acm[dot]org.
Important Dates
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Submission deadline: Sep 30, 2024 Oct 11, 2024
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Notification deadline: October 15, 2024
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Camera-ready deadline: October 30, 2024
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Workshop day: 7th Jan 2025
Organizers
| Workshop chairs
- Praveen Tammana, IIT Hyderabad
- Abed Kamaluddin , Marvell Technologies
| Technical Program Committee
- Dr. Pravein Govindan Kannan, IBM Research
- Dr. Priyanka Naik, IBM Research
- Prof. Rinku Shah, IIIT Delhi
- Prasun Kapoor, AVP, Marvell Technology Group
- Michal Kalderon, Distinguished Engineer, Marvell Technology
- Dr. Palanivel Kodeswaran, IBM Research
- Dr. Sayandeep Sen, IBM Research
| Contact us
If you have any questions, please email the Workshop co-chairs: