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Poster
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Tue 17:00
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FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
Hong-You Chen · Wei-Lun Chao
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Workshop
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Fri 3:05
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Model Selection's Disparate Impact in Real-World Deep Learning Applications
Jessica Forde · A. Feder Cooper
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Workshop
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Fri 8:40
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Biased Client Selection for Improved Convergence of Federated Learning
Gauri Joshi
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Poster
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Tue 17:00
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Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
Haibo Yang · Minghong Fang · Jia Liu
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Poster
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Tue 1:00
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Risk-Averse Offline Reinforcement Learning
Núria Armengol Urpí · Sebastian Curi · Andreas Krause
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Workshop
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Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
Filip Hanzely · Boxin Zhao · Mladen Kolar
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Workshop
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Heterogeneous Zero-Shot Federated Learning with New Classes for Audio Classification
Gautham Krishna Gudur · Satheesh Perepu
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Oral
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Wed 12:23
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Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
T. Konstantin Rusch · Siddhartha Mishra
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Poster
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Mon 17:00
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Personalized Federated Learning with First Order Model Optimization
Michael Zhang · Karan Sapra · Sanja Fidler · Serena Yeung · Jose M. Alvarez
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Poster
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Wed 9:00
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Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
T. Konstantin Rusch · Siddhartha Mishra
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Poster
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Thu 17:00
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HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Enmao Diao · Jie Ding · VAHID TAROKH
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Poster
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Wed 9:00
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Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
Maruan Al-Shedivat · Jennifer Gillenwater · Eric P Xing · Afshin Rostamizadeh
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