Marco Canini
16 papers · 2012–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (29) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🧭
Keyword Pioneer
🗃️
Keyword Collector
(76)
💎
Century Club · Bronze
🚀
Conference Pioneer
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Computer Science
(7)
Machine Learning
(7)
Systems
(7)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(3)
Application Areas
(3)
Deep Learning
(2)
Learning Paradigms
(2)
Learning Types
(2)
Optimization & Theory · Deep Learning
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Applications · Computer Science
(1)
Applications · Data Science & Analytics
(1)
Keywords
distributed training
(3)
programmable switch
(3)
black-box optimization
(2)
gradient compression
(2)
performance optimization
(1)
anomaly detection
(1)
stochastic gradient
(1)
distributed machine learning
(1)
chain-of-thought reasoning
(1)
communication complexity
(1)
neural network optimization
(1)
privacy-preserving learning
(1)
formal verification
(1)
prompt engineering
(1)
collaborative learning
(1)
bayesian optimization
(1)
hyperparameter tuning
(1)
bilevel optimization
(1)
knowledge transfer
(1)
reinforcement learning
(1)
Papers
Cost-effective and Reliable Global Internet Peering with Programmable Switches
NSDI 2026
Observability Is Eating Your Cores: Fine-Grained Analysis of Microservice Metrics with IPU-Hosted Sketches
NSDI 2026
ACING: Actor-Critic for Instruction Learning in Black-Box LLMs
EMNLP 2025
DPFL: Decentralized Personalized Federated Learning
AISTATS 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments
ICLR 2025
RDMA is Turing complete, we just did not know it yet!
NSDI 2022
Unlocking the Power of Inline Floating-Point Operations on Programmable Switches
NSDI 2022
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly
ICLR 2021
Rethinking gradient sparsification as total error minimization
NeurIPS 2021
Scaling Distributed Machine Learning with In-Network Aggregation
NSDI 2021
Assise: Performance and Availability via Client-local NVM in a Distributed File System
OSDI 2020
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
AAAI 2020
Correct by Construction Networks Using Stepwise Refinement
NSDI 2017
An Industrial-Scale Software Defined Internet Exchange Point
NSDI 2016
C3: Cutting Tail Latency in Cloud Data Stores via Adaptive Replica Selection
NSDI 2015
A NICE Way to Test OpenFlow Applications
NSDI 2012