Lewin Tseng: Exact Byzantine Consensus under Local Broadcast Model Friday, December 13, 2019  1:00pm to 2:30pm 

Brabeeba Wang: The First at AllTime Convergence Analysis for Biological Oja's Rule to Solve Streaming PCA Friday, October 11, 2019  1:00pm to 2:30pm Biological Oja’s rule is a biologically feasible algorithm using Hebbiantype local synaptic update that solves the streaming PCA problem. 

Counting to Ten with Yael Hitron: Two Fingers: Compressed Counting with Spiking Neurons Friday, July 26, 2019  1:00pm to 2:30pm We consider the task of measuring time with probabilistic threshold gates implemented by bioinspired spiking neurons. 

Hoa Vu: Toward the Locality of Vizing's Theorem Friday, November 16, 2018  1:00pm to 2:30pm Abstract: 

Siddhartha Jayanti: An Optimal Amortized Algorithm for Abortable Mutual Exclusion Friday, May 11, 2018  1:00pm to 2:00pm 

Lewis Tseng: Asynchronous CrashTolerant Consensus in Directed Graphs Friday, March 23, 2018  1:00pm to 2:30pm Consider a directed pointtopoint network. 

Lili Su: Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent Friday, December 8, 2017  1:00pm to 2:30pm We consider the distributed statistical learning problem over decentralized systems that are prone to adversarial attacks. This setup arises in many practical applications, including Google’s Federated Learning. 

Shlomi Dolev: Encountering Challenges in Computer Science, Including, Quantum Safe Public Key Infrastructure Thursday, November 9, 2017  3:00pm to 4:30pm At this presentation, I will give an overview on recent results from my research group on distributed computing, 

Siddhartha Jayanti: Concurrent Disjoint Set Union Friday, October 27, 2017  1:00pm to 2:30pm A famous result in sequential data structures that the UnionFind object can be implemented in amortized inverseAckermann work per operation. 

Slobodan Mitrovic: MapReduce and approximate Maximal Matchings Friday, October 6, 2017  1:00pm to 2:30pm The last decade has witnessed the success of a number of massive parallel computation (MPC) frameworks, such as MapReduce, Hadoop, Dryad, or Spark. 