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SIGCOMM'26: Community Session
SIGCOMM'26: Root Cause Analysis for Multi-Vendor Device Failures with LLM-Powered Reasoning
SIGCOMM'26: LEVELLER
SIGCOMM'26: SAGE: A Real-Time AI System for Reducing Latency in NextG Cellular Networks
SIGCOMM'26: Towards Efficient Verification of Distributed In-Network Computing Programs
SIGCOMM'26: Evolution of AliYANG: Model-driven and LLM-assisted Network Configuration Management
SIGCOMM'26: Improving Evaluation of Heterogenous Congestion Control Algorithm Interactions
SIGCOMM'26: Achieving Network Efficiency with Service Collaborative Capacity Sharing and Enforcement
SIGCOMM'26: Efficiently Serving Long-Context Large Language Models with In-Network Aggregation
SIGCOMM'26: A Disaggregated DPU Architecture for High-Performance and Cost-Efficient AI Clouds
SIGCOMM'26: Balancing and Beyond: Communication-Centric Optimizations in Expert Parallelism
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Last Updated: September 6, 2026
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For 2026, Sigcomm 26 Non Paper Session Networking And Systems Problems In Distributed Llm Serving remains one of the most talked-about información profiles. Check back for the latest updates.
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Summary
... everybody um welcome to this uh All right folks welcome to the SigcomCom retro Okay now let's move on to the uh fourth ... I will motivate lossless communication complexion using the data ... interests include resource efficient Hi good talk uh I'm Jun from Madison just curious how scalable the Right um thanks for a nice talk so two Yeah I was just trying to draw in a bigger crowd because we have an amazing If we look at how we compute it we have developed uh two ... Pik University i will present Turbo a Does it all add up epic runs in our online inference
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