Topic in AI Systems & Hardware

Distributed, cloud & edge systems

117 labs at 27 universities work on distributed, cloud & edge systems (part of AI Systems & Hardware). Most at SJTU, Peking and Tsinghua. 88 published in 2026.

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I want to research distributed, cloud & edge systems in anywhere.

117 labs at 27 universities work on distributed, cloud & edge systems. Most at 21, 11, 8. 88 of them published in 2026, mostly at NeurIPS, ICLR and ICML. Earliest deadline: , Dec 1.

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117 labs

CNPekingSchool of Computer ScienceJan 15

Bin CuiProfessor

Leads research on database systems and large-scale machine learning systems, including distributed training and data management for AI.

Efficient training & inference
Distributed, cloud & edge systems
Data management & big data

2026ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from ScratchACL
2026DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement LearningICML

118 T1 · 187 papers · 36 members · 64 alumni

SGNUSDepartment of Computer ScienceDec 15

Bingsheng HeProfessor

Builds data systems and infrastructure for large language models and agentic AI, federated learning and graph analytics on GPUs, TPUs and FPGAs.

Accelerators, chips & architecture
Distributed, cloud & edge systems
Large language models

2026'They've Stolen My GPL-Licensed Model!': Toward Standardized and Transparent Model LicensingWWW
2026ABFlow: Alert Bursting Flow Query in Streaming Temporal Flow NetworksSIGMOD

110 T1 · 134 papers · 7 members · 12 alumni

CNSJTUSchool of Computer ScienceMay 31

Guihai ChenDistinguished Professor

Works on computer networks, wireless sensor networks and distributed computing, and leads the Institute of Advanced Network whose recent work spans data…

Data management & big data
Distributed, cloud & edge systems

2026Accelerating Complex Event Recognition via Range Bitmap-Based Indexes With Window-Wise FilteringTKDE
2026AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel OptimizationAAAI

105 T1 · 291 papers · Group size not listed

USUC BerkeleyElectrical Engineering and Computer SciencesDec 1

Ion StoicaProfessor

Builds cloud computing and AI systems, such as Ray, vLLM and Sky Computing.

Distributed, cloud & edge systems

2026Agentix: An Efficient Serving Engine for LLM Agents as General ProgramsNSDI
2026BlendServe: Optimizing Offline Inference with Resource-Aware BatchingASPLOS

87 T1 · 103 papers · 19 members · 57 alumni

CNSJTUSchool of Computer ScienceMay 31

Minyi GuoChair Professor

Works on parallel and cloud computing and compilers, with recent work on accelerating LLMs through hardware-friendly quantization (OliVe) and deep learning…

Efficient training & inference
Distributed, cloud & edge systems

2026Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUsISCA
2026Arena: Efficiently Training Large Models via Dynamic Scheduling and Adaptive Parallelism Co-DesignEuroSys

74 T1 · 217 papers · Group size not listed

SGNTUSchool of Electrical and Electronic Engineering

Lihua XieProfessor

Works on robust control and estimation, networked and cooperative control, distributed optimization and unmanned systems.

Planning, control & multi-robot systems
Learning theory & optimization
Distributed, cloud & edge systems

2026Asymptotically Optimal Distributed Consensus of Heterogeneous Multiagent SystemsTAC
2026Data-Driven Cooperative Output Regulation via Output Feedback ControlTAC

73 T1 · 196 papers · 9 members · 68 alumni

SGNUSDepartment of Computer ScienceDec 15

Yang YouNUS Presidential Young Professor

Leads the HPC-AI Lab on scaling deep neural network training on distributed systems, including the LAMB optimiser.

Efficient training & inference
Distributed, cloud & edge systems

2026ASCIIEval: Benchmarking Models' Visual Perception in Text Strings via ASCII ArtICLR
2026DyDiT++: Diffusion Transformers With Timestep and Spatial Dynamics for Efficient Visual GenerationTPAMI

64 T1 · 85 papers · 15 members · 29 alumni

USCMUMachine Learning DepartmentDec 9

Eric XingJohn F. Nash, Jr. Professor of Machine Learning, Director of MBZUAI-CMU Institute of Virtual and Programmable Cells, Associate Department Head

Studies machine learning and AI systems, including large foundation models, distributed learning and computational biology.

Generative & foundation models
Distributed, cloud & edge systems
Large language models

2026In-context Learning of Evolving Data Streams with Tabular Foundational ModelsKDD
2026Vision-G1: Towards General Reasoning Vision-Language Models via Reinforcement LearningAAAI

55 T1 · 77 papers · 16 members · 60 alumni

CNSJTUSchool of Artificial IntelligenceMay 31

Fangcheng Fu副教授

Works on machine learning systems and data management, including the Hetu distributed deep learning system.

Distributed, cloud & edge systems
Data management & big data

2026BOute: Cost-Efficient LLM Serving with Heterogeneous LLMs and GPUs via Multi-Objective Bayesian OptimizationMLSys
2026Cascadia: An Efficient Cascade Serving System for Large Language ModelsICLR

45 T1 · 56 papers · Group size not listed

CHEPFLSchool of Computer and Communication Sciences (IC)Dec 1

Martin JaggiAssociate Professor

Leads the Machine Learning and Optimization Laboratory, working on distributed and collaborative training, optimization methods and open medical language…

Learning theory & optimization
Signal processing & information theory
Distributed, cloud & edge systems

2026Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsACL
2026Beyond URLs: Metadata Diversity and Position for Efficient LLM PretrainingICLR

37 T1 · 46 papers · 12 members · 13 alumni

CNSJTUSchool of Computer ScienceMay 31

Bo ChenTenured Track Associate Professor

Builds networked and machine learning systems for immersive computing, with device-edge-cloud collaboration for visual, XR and 3D content applications.

Distributed, cloud & edge systems
VR, AR & immersive media
Generative 3D & visual content

2026DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive BenchmarkKDD
2026Modular Representation Compression: Adapting LLM Representations for Efficient and Effective RecommendationSIGIR

35 T1 · 52 papers · Group size not listed

SGNUSDepartment of Mechanical EngineeringDec 15

Guillaume SartorettiAssistant Professor

Leads the MARMoT Lab on distributed deep reinforcement learning for decentralized multi-robot cooperation and high-DoF articulated robots.

Planning, control & multi-robot systems
Reinforcement learning
Distributed, cloud & edge systems

2026A Tilt-Rotor with a Gripper for Stable Contact-Based Tasks via Environmental AnchoringIROS
2026APEX: Action Priors Enable Efficient Exploration for Robust Motion Tracking on Legged RobotsIROS

34 T1 · 59 papers · 13 members · 49 alumni

USUCSDHalıcıoğlu Data Science InstituteDec 15

Hao ZhangAssistant Professor

Builds systems for training and serving large machine learning models, such as vLLM and distributed LLM serving.

Efficient training & inference
Distributed, cloud & edge systems
Data management & big data

2026Deep Think with ConfidenceICLR
2026Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion ForcingICLR

31 T1 · 35 papers · 10 members · 25 alumni

CNTsinghuaDepartment of Computer Science and TechnologyFeb 28

Mingxing ZhangAssociate Professor

Works on parallel and distributed systems, and initiated the open-source KVCache.AI projects Mooncake and KTransformers for large-language-model serving.

Distributed, cloud & edge systems
Efficient training & inference

2026Accelerating Stream Processing Engines via Hardware OffloadingSIGMOD
2026CMANNS: GPU-Accelerated Graph Index Construction for ANNS via Compute–Memory DisaggregationSIGMOD

30 T1 · 40 papers · 37 members · 55 alumni

HKCUHKDepartment of Computer Science and EngineeringDec 1

Songtao LuAssistant Professor

Studies optimization for machine learning, including bilevel and distributed optimization.

Learning theory & optimization
Distributed, cloud & edge systems

2026Bilevel Optimization over Saddle Points of Zero-Sum Markov GamesICML
2026How Can Mamba Learn In Context with Outliers and Generalize Provably?ICML

29 T1 · 40 papers · 5 members

SGNTUSchool of Electrical and Electronic Engineering

Wee Peng TayProfessor

Works on network signal processing and machine learning, including distributed inference, social learning and graph network algorithms.

Signal processing & information theory
Efficient training & inference
Distributed, cloud & edge systems

2026Adaptive multi-view graph contrastive learning via fractional continuous dynamicsNeurIPS
2026Agent-OBJ: Prompt-driven 3D adversaries for multi-modal perceptionECCV

29 T1 · 74 papers · 7 members · 19 alumni

CHEPFLInstitute of Electrical and Micro Engineering (IEM, School of Engineering STI)Dec 1

Ali H. SayedFull Professor

Leads the Adaptive Systems Laboratory, studying adaptation and learning over networks, including distributed and multi-agent learning.

Reasoning & neuro-symbolic AI
Planning, control & multi-robot systems
Distributed, cloud & edge systems

2026Causal influences over social learning networksJMLR
2026Decentralized learning of decision models for classification with dependent agentsICASSP

27 T1 · 80 papers · 3 members · 33 alumni

CNSJTUSchool of Computer ScienceMay 31

Xiaofeng GaoTenured Professor

Works on data engineering, data mining and networking, including trust prediction in online social networks.

Graph mining & networks
Computational social science
Distributed, cloud & edge systems

2025Enhancing Masked Time-Series Modeling via Dropping PatchesAAAI
2025Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud ServicesVLDB

25 T1 · 71 papers · 21 members · 12 alumni

HKCUHKDepartment of Computer Science and EngineeringDec 1

James ChengProfessor

Builds distributed systems for big data and machine learning, such as the Husky computing system and the FlexPS parameter server.

Distributed, cloud & edge systems
Data management & big data

2026CAM: Question Answering on Entity-Centric Videos with Continuous Extraction and Adaptive QueryingNeurIPS
2026Discovering and Reasoning of Causality in the Hidden World with Large Language ModelsJMLR

24 T1 · 54 papers · Group size not listed · 23 alumni

CHEPFLSchool of Computer and Communication Sciences (IC)Dec 1

Rachid GuerraouiFull Professor

Researches distributed algorithms and robust distributed machine learning, including Byzantine-resilient learning and transactional memory.

Trustworthy & safe ML
Signal processing & information theory
Distributed, cloud & edge systems

2026Distributional Machine Unlearning via Selective Data RemovalICLR
2026Robust Federated InferenceICLR

24 T1 · 52 papers · 7 members · 46 alumni

Where they areClick a university to narrow the list

Where they areClick a university to narrow the list

Other topics in AI Systems & Hardware

I want to research distributed, cloud & edge systems in anywhere.

Bin CuiProfessor

Bingsheng HeProfessor

Guihai ChenDistinguished Professor

Ion StoicaProfessor

Minyi GuoChair Professor

Lihua XieProfessor

Yang YouNUS Presidential Young Professor

Eric XingJohn F. Nash, Jr. Professor of Machine Learning, Director of MBZUAI-CMU Institute of Virtual and Programmable Cells, Associate Department Head

Fangcheng Fu副教授

Martin JaggiAssociate Professor

Bo ChenTenured Track Associate Professor

Guillaume SartorettiAssistant Professor

Hao ZhangAssistant Professor

Mingxing ZhangAssociate Professor

Songtao LuAssistant Professor

Wee Peng TayProfessor

Ali H. SayedFull Professor

Xiaofeng GaoTenured Professor

James ChengProfessor

Rachid GuerraouiFull Professor

Where they areClick a university to narrow the list

Other topics in AI Systems & Hardware

I want to research distributed, cloud & edge systems in anywhere.

Bin CuiProfessor

Bingsheng HeProfessor

Guihai ChenDistinguished Professor

Ion StoicaProfessor

Minyi GuoChair Professor

Lihua XieProfessor

Yang YouNUS Presidential Young Professor

Eric XingJohn F. Nash, Jr. Professor of Machine Learning, Director of MBZUAI-CMU Institute of Virtual and Programmable Cells, Associate Department Head

Fangcheng Fu副教授

Martin JaggiAssociate Professor

Bo ChenTenured Track Associate Professor

Guillaume SartorettiAssistant Professor

Hao ZhangAssistant Professor

Mingxing ZhangAssociate Professor

Songtao LuAssistant Professor

Wee Peng TayProfessor

Ali H. SayedFull Professor

Xiaofeng GaoTenured Professor

James ChengProfessor

Rachid GuerraouiFull Professor