Systems & networking

Publication

Everything Matters in Programmable Packet Scheduling

Albert Gran Alcoz, Balazs Vass, Pooria Namyar, Behnaz Arzani, Gabor Retvari, Laurent Vanbever

NSDI | February 2025

Project

Publication

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation

Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, , Qingwei Lin 林庆维

December 2024

Publication

CosMAC: Constellation-Aware Medium Access and Scheuduling for IoT Satellites

Jayanth Shenoy, Om Chabra, Tusher Chakraborty, Suraj Jog, Deepak Vasisth, Ranveer Chandra

ACM MobiCom | November 2024

Project Project

Publication

FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices

Xiangyu Li, Yuanchun Li, Yuanzhe Li, Ting Cao, Yunxin Liu

International Conference on Mobile Computing and Networking (MobiCom ’24) | November 2024

Publication

Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System

Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维

TKDE’24 | November 2024

Publication

ProvCam: A Camera Module with Self-Contained TCB for Producing Verifiable Videos

Yuxin (Myles) Liu, Zhihao Yao, Mingyi Chen, Ardalan Amiri Sani, Sharad Agarwal, Gene Tsudik

MobiCom | November 2024

Publication

Memory Allocation under Hardware Compression

Muhammad Laghari, Yuqing Liu, Gagandeep Panwar, David Bears , Chandler Jearls , Raghavendra Srinivas , Esha Choukse, Kirk Cameron, Ali R. Butt, Xun Jian

MICRO | November 2024

Publication

Mosaic: Harnessing Micro-architectural Resources of Servers in Serverless Environments

Jovan Stojkovic, Esha Choukse, Enrique Saurez, Íñigo Goiri, Josep Torrellas

MICRO | November 2024

Project

Publication

CacheGen: Fast Context Loading for Language Model Applications via KV Cache Streaming

Yuhan Liu, Hanchen Li, Yihua Cheng, Siddhant Ray, Yuyang Huang, Qizheng Zhang, Kuntai Du, Jiayi Yao, Shan Lu, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang

SIGCOMM | August 2024

Publication

m3: Accurate Flow-Level Performance Estimation using Machine Learning

Chenning Li , Arash Nasr-Esfahany, Kevin Zhao , Kimia Noorbakhsh, Prateesh Goyal, Mohammad Alizadeh, Thomas Anderson

ACM SIGCOMM | August 2024

Efficient AI | Making Azure's big bet possible

What’s Your Story: Weishung Liu | Microsoft Research Podcast

AI Infrastructure | Towards efficient AI/ML deployment

Microsoft at ASPLOS 2024: Advancing hardware and software for high-scale, secure, and efficient modern applications

Everything Matters in Programmable Packet Scheduling

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation

CosMAC: Constellation-Aware Medium Access and Scheuduling for IoT Satellites

FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices

Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System

ProvCam: A Camera Module with Self-Contained TCB for Producing Verifiable Videos

Memory Allocation under Hardware Compression

Mosaic: Harnessing Micro-architectural Resources of Servers in Serverless Environments

CacheGen: Fast Context Loading for Language Model Applications via KV Cache Streaming

m3: Accurate Flow-Level Performance Estimation using Machine Learning

Systems & networking

Highlights