Panos Kalnis
9 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (16) π Conference Polyglot Β· Silver
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Keyword Champion
(2)
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Prolific Year Β· Productive
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Keyword Collector
(51)
Top co-authors
Research topics
Machine Learning
(7)
Application Areas
(5)
Optimization & Theory Β· Machine Learning
(5)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Optimization & Theory Β· Deep Learning
(3)
Techniques
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Natural Language Processing
(1)
Applications
(1)
Core AI
(1)
Learning Paradigms
(1)
Systems
(1)
Keywords
gradient compression
(4)
distributed training
(3)
neural network optimization
(2)
gradient sparsification
(2)
communication compression
(2)
model compression
(2)
distributed deep learning
(2)
route planning
(2)
communication complexity
(1)
algorithm design
(1)
multimodal learning
(1)
federated learning
(1)
distributed machine learning
(1)
knowledge graph
(1)
parallel processing
(1)
parallel computing
(1)
question answering
(1)
model training
(1)
convergence rate
(1)
online algorithm
(1)
Papers
Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
EACL 2026
SLAMB: Accelerated Large Batch Training with Sparse Communication
ICML 2023
Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects
IJCAI 2022
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning
NeurIPS 2021
Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data
IJCAI 2021
Rethinking gradient sparsification as total error minimization
NeurIPS 2021
Scaling Distributed Machine Learning with In-Network Aggregation
NSDI 2021
Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams
IJCAI 2021
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
AAAI 2020