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Poster
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Thu 9:00
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On the non-universality of deep learning: quantifying the cost of symmetry
Emmanuel Abbe · Enric Boix-Adsera
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Poster
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Tue 9:00
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SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning
Tanguy Marchand · Boris Muzellec · Constance Béguier · Jean Ogier du Terrail · Mathieu Andreux
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Poster
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Byzantine-tolerant federated Gaussian process regression for streaming data
Xu Zhang · Zhenyuan Yuan · Minghui Zhu
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Workshop
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Reducing Communication in Nonconvex Federated Learning with a Novel Single-Loop Variance Reduction Method
Kazusato Oko · Shunta Akiyama · Tomoya Murata · Taiji Suzuki
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Poster
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Tue 14:00
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PALMER: Perception - Action Loop with Memory for Long-Horizon Planning
Onur Beker · Mohammad Mohammadi · Amir Zamir
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Workshop
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Accelerating Federated Learning Through Attention on Local Model Updates
Parsa Assadi · Byung Hoon Ahn · Hadi Esmaeilzadeh
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Workshop
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Privacy-Preserving Group Fairness in Cross-Device Federated Learning
Sikha Pentyala · Nicola Neophytou · Anderson Nascimento · Martine De Cock · Golnoosh Farnadi
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Workshop
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Reducing Forgetting in Federated Learning with Truncated Cross-Entropy
Gwen Legate · Lucas Page-Caccia · Eugene Belilovsky
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Affinity Workshop
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Development of a Model to Classify Skin Diseases using Ensemble Machine Learning Techniques
Oluwayemisi Jaiyeoba · Temitope Owolabi · Emeka Ogbuju
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Poster
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Thu 9:00
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On Privacy and Personalization in Cross-Silo Federated Learning
Ken Liu · Shengyuan Hu · Steven Wu · Virginia Smith
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Poster
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Wed 14:00
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A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
Jiafan He · Tianhao Wang · Yifei Min · Quanquan Gu
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Poster
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Wed 14:00
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A Unified Analysis of Federated Learning with Arbitrary Client Participation
Shiqiang Wang · Mingyue Ji
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