WE2-4: Distributed Coding and Optimization |
Session Type: Virtual |
Time: Wednesday, November 4, 13:00 - 14:20 |
Virtual Session: View on Virtual Platform |
Location: Room 4 |
Session Chair: Gauri Joshi, Carnegie Mellon University |
WE2-4-1: Robust Class Parallelism - Error Resilient Parallel Inference with Low Communication Cost |
Yaoqing Yang; UC Berkeley |
Jichan Chung; UC Berkeley |
Guanhua Wang; UC Berkeley |
Vipul Gupta; UC Berkeley |
Adarsh Karnati; UC Berkeley |
Kenan Jiang; UC Berkeley |
Ion Stoica; UC Berkeley |
Joseph Gonzalez; UC Berkeley |
Kannan Ramchandran; UC Berkeley |
WE2-4-2: vqSGD: Vector Quantized Stochastic Gradient Descent |
Venkata Gandikota; University of Massachusetts Amherst |
Daniel Kane; University of California San Diego |
Raj Kumar Maity; University of Massachusetts Amherst |
Arya Mazumdar; University of Massachusetts Amherst |
WE2-4-3: Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning |
Yae Jee Cho; Carnegie Mellon University |
Samarth Gupta; Carnegie Mellon University |
Gauri Joshi; Carnegie Mellon University |
Osman Yağan; Carnegie Mellon University |
WE2-4-4: Attack of the Tails: Yes, You Really Can Backdoor Federated Learning |
Hongyi Wang; University of Wisconsin-Madison |
Kartik Sreenivasan; University of Wisconsin-Madison |
Harit Vishwakarma; University of Wisconsin-Madison |
Jy-yong Sohn; KAIST |
Shashank Rajput; University of Wisconsin-Madison |
Saurabh Agarwal; University of Wisconsin-Madison |
Kangwook Lee; University of Wisconsin-Madison |
Dimitris Papailiopoulos; University of Wisconsin-Madison |