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[L4DC 2020] Robust online model adaptation by EKF
SIGCOMM'26: Connex: Endpoint Mobility Primitives for Dynamic LLM Serving
A Demonstration of KAMEL: A Scalable BERT-based System for Trajectory Imputation. ACM SIGMOD 2023
SIGCOMM'26: Root Cause Analysis for Multi-Vendor Device Failures with LLM-Powered Reasoning
SIGCOMM'26: Improving Evaluation of Heterogenous Congestion Control Algorithm Interactions
RDMA over Ethernet for Distributed AI Training at Meta Scale (SIGCOMM'24, Paper 246)
SIGCOMM'26: Connecting 100K+ GPUs: Building the Communication Stack for Large-Scale LLM Training
Continual Adaptation of Semantic Segmentation Using Complementary 2D-3D Data Representations
SIGMETRICS'24 - Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
TorchSpec: Speculative Decoding Training at Scale | Together AI | Ray Summit 2026
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Last Updated: September 18, 2026
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... so how do you generate that using your LLM State-of-the-art approaches use vehicle trajectories as a means of inferring changes in the map. However, due to bandwidth, ... ... scientific uh sound and principled way and so our framework is ... networking group currently he leads the AI networking software team at Meta focus focusing on building IMA This is the accompanying video of our IEEE RA-L paper "Continual ... introduce an algorithm called row advice this algorithm combines the decisions made made by some TorchSpec is a torch-native speculative decoding training framework built on Ray, with a disaggregated design that lets each side ...
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