NeurIPS 2021

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158 Results

Workshop		Secure Aggregation for Buffered Asynchronous Federated Learning Jinhyun So · Ramy Ali · Basak Guler · Salman Avestimehr
Poster	Thu 16:30	Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes Sanghyun Hong · Michael-Andrei Panaitescu-Liess · Yigitcan Kaya · Tudor Dumitras
Workshop	Mon 13:15	Keynote Talk: Personalization in Federated Learning: Adaptation and Clustering (Asu Ozdaglar) Asuman Ozdaglar
Workshop		Personalized Neural Architecture Search for Federated Learning Minh Hoang · Carl Kingsford
Workshop		Communication Efficient Federated Learning with Secure Aggregation and Differential Privacy Wei-Ning Chen · Christopher Choquette-Choo · Peter Kairouz
Poster	Thu 0:30	CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression Zhize Li · Peter Richtarik
Poster	Thu 0:30	Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning Scott Sussex · Caroline Uhler · Andreas Krause
Workshop		FedHist: A Federated-First Dataset for Learning inHealthcare
Poster	Thu 8:30	Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection Koby Bibas · Meir Feder · Tal Hassner
Poster	Thu 16:30	Robust and differentially private mean estimation Xiyang Liu · Weihao Kong · Sham Kakade · Sewoong Oh
Poster	Thu 0:30	Repulsive Deep Ensembles are Bayesian Francesco D'Angelo · Vincent Fortuin
Workshop		Efficient and Private Federated Learning with Partially Trainable Networks Hakim Sidahmed · Zheng Xu · Yuan Cao