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Poster
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I2Q: A Fully Decentralized Q-Learning Algorithm
Jiechuan Jiang · Zongqing Lu
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Workshop
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A Unified Framework to Understand Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective
xinwei zhang · Nicola Elia · Mingyi Hong
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Workshop
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Near-optimal decentralized algorithms for network dynamic optimization
Judy Gan · Yashodhan Kanoria · Xuan Zhang
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Poster
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Tue 14:00
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Optimal Algorithms for Decentralized Stochastic Variational Inequalities
Dmitry Kovalev · Aleksandr Beznosikov · Abdurakhmon Sadiev · Michael Persiianov · Peter Richtarik · Alexander Gasnikov
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Poster
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Tue 9:00
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Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents
Qiang LI · Chung-Yiu Yau · Hoi-To Wai
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Poster
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Thu 14:00
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A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
Songtao Lu · Siliang Zeng · Xiaodong Cui · Mark Squillante · Lior Horesh · Brian Kingsbury · Jia Liu · Mingyi Hong
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Poster
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Thu 9:00
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Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
Chinmay Maheshwari · Shankar Sastry · Eric Mazumdar
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Workshop
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Decentralized Stochastic Optimization with Client Sampling
Ziwei Liu · Anastasiia Koloskova · Martin Jaggi · Tao Lin
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Workshop
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ProxSkip for Stochastic Variational Inequalities: A Federated Learning Algorithm for Provable Communication Acceleration
Siqi Zhang · Nicolas Loizou
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Workshop
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Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems
Chhavi Sharma · Vishnu Narayanan · Balamurugan Palaniappan
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Workshop
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A Stochastic Conjugate Subgradient Algorithm for Kernelized Support Vector Machines: The Evidence
Di Zhang · Suvrajeet Sen
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Poster
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Thu 9:00
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Recruitment Strategies That Take a Chance
Gregory Kehne · Ariel Procaccia · Jingyan Wang
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