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43 Results
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Poster
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Tue 2:30 |
Divergence-aware Federated Self-Supervised Learning Weiming Zhuang · Yonggang Wen · Shuai Zhang |
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Workshop
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Provably Fair Federated Learning via Bounded Group Loss Shengyuan Hu · Steven Wu · Virginia Smith |
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Poster
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Tue 18:30 |
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? Sheikh Shams Azam · Seyyedali Hosseinalipour · Qiang Qiu · Christopher Brinton |
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Workshop
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Secure Aggregation for Privacy-Aware Federated Learning with Limited Resources Irem Ergun · Hasin Us Sami · Basak Guler |
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Poster
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Wed 2:30 |
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond Chulhee Yun · Shashank Rajput · Suvrit Sra |
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Oral
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Tue 2:00 |
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond Chulhee Yun · Shashank Rajput · Suvrit Sra |
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Workshop
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FedER: Communication-Efficient Byzantine-Robust Federated Learning Yukun Jiang · Xiaoyu Cao · Hao Chen · Neil Gong |
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Poster
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Wed 2:30 |
Case-based reasoning for better generalization in textual reinforcement learning Mattia Atzeni · Shehzaad Dhuliawala · Keerthiram Murugesan · Mrinmaya Sachan |
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Poster
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Thu 2:30 |
Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients Nan Lu · Zhao Wang · Xiaoxiao Li · Gang Niu · Qi Dou · Masashi Sugiyama |
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Poster
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Wed 2:30 |
On-Policy Model Errors in Reinforcement Learning Lukas Fröhlich · Maksym Lefarov · Melanie Zeilinger · Felix Berkenkamp |
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Poster
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Thu 18:30 |
Acceleration of Federated Learning with Alleviated Forgetting in Local Training Chencheng Xu · Zhiwei Hong · Minlie Huang · Tao Jiang |
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Poster
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Wed 10:30 |
Diverse Client Selection for Federated Learning via Submodular Maximization Ravikumar Balakrishnan · Tian Li · Tianyi Zhou · Nageen Himayat · Virginia Smith · Jeff Bilmes |