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The rise of programmable network devices -- such as switches and SmartNICs -- has enabled a new computing paradigm: In-Network Computing (INC). By performing computation directly in the data plane, INC can reduce communication overhead, accelerate distributed coordination, and improve the efficiency of system-wide operations. Distributed systems stand to benefit significantly from this paradigm shift. Many of their core functions—such as replication, consensus, scheduling, aggregation, and load balancing—are communication-heavy and latency-sensitive. In-network computing provides a compelling opportunity to rethink these mechanisms by pushing parts of their logic into the network fabric. While recent research has demonstrated the feasibility of INC for specific tasks (e.g., cache indexing, gradient aggregation, distributed counters), broader system-level integration remains challenging. Open questions span from programming abstractions and hardware constraints to performance modeling, security, and compatibility with evolving distributed runtimes. This workshop focuses on in-network computing and AI for distributed systems (INCAS). We aim to bring together researchers and practitioners to share emerging ideas, explore new design patterns, and identify key challenges at the intersection of programmable networks and distributed system architecture.
Workshop Paper Abstract Registration: July 21st, 2025
Workshop Paper Submission: July 28th, 2025
Notification of Acceptance: September 12th, 2025
Camera-Ready Workshop Papers: October 8th, 2025
Program Available Online: October 12th, 2025
List of Organization Details: October 12th, 2025
Steering Co-Chairs
Organization Co-Chairs
Web Co-Chairs
Publication Chair
Publicity Chair
Program Committee Members
To ensure strong participation and broad visibility, the INCAS 2025 workshop will be promoted through multiple channels, including the official ACM CoNEXT website, academic mailing lists, and a range of social media platforms (e.g., LinkedIn, Twitter/X, WeChat, and others). We will also conduct direct outreach to leading researchers and industry professionals in relevant fields.