Talk
in
Workshop: Federated Learning for User Privacy and Data Confidentiality
Technical Talks Session 2
Jinhyun So · Chong Liu · Honglin Yuan · Krishna Pillutla · Leighton P Barnes · Ashkan Yousefpour · Swanand Kadhe
Abstract:
- Jinhyun So, Basak Guler and A. Salman Avestimehr. Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning
- Chong Liu, Yuqing Zhu, Kamalika Chaudhuri and Yu-Xiang Wang. Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
- Honglin Yuan and Tengyu Ma. Federated Accelerated Stochastic Gradient Descent
- Krishna Pillutla, Sham Kakade and Zaid Harchaoui. Robust Aggregation for Federated Learning
- Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik and Ayfer Ozgur. rTop-k: A Statistical Estimation Approach to Distributed SGD
- Ashkan Yousefpour, Brian Nguyen, Siddartha Devic, Guanhua Wang, Abdul Rahman Kreidieh, Hans Lobel, Alexandre Bayen and Jason Jue. ResiliNet: Failure-Resilient Inference in Distributed Neural Networks
- Swanand Kadhe, Nived Rajaraman, O. Ozan Koyluoglu and Kannan Ramchandran. FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
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