1.1k citations · 3k across the 72 of their papers we have counts for
75 papers
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love +1
Existing approaches to distributed matrix computations involve allocating coded combinations of submatrices to worker nodes, to build resilience to stragglers and/or enhance privac…
A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning
Satyavrat Wagle, Anindya Bijoy Das, David J. Love +1
Augmenting federated learning (FL) with direct device-to-device (D2D) communications can help improve convergence speed and reduce model bias through rapid local information exchan…
Derandomizing Codes for the Binary Adversarial Wiretap Channel of Type II
Eric Ruzomberka, Homa Nikbakht, Christopher G. Brinton +2
We revisit the binary adversarial wiretap channel (AWTC) of type II in which an active adversary can read a fraction and flip a fraction of codeword bits. The semantic-secr…
Adversarial Channels with O(1)-Bit Partial Feedback
Eric Ruzomberka, Yongkyu Jang, David J. Love +1
We consider point-to-point communication over -ary adversarial channels with partial noiseless feedback. In this setting, a sender Alice transmits symbols from a -ary alp…
Dynamic and Robust Sensor Selection Strategies for Wireless Positioning with TOA/RSS Measurement
Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim +3
Emerging wireless applications are requiring ever more accurate location-positioning from sensor measurements. In this paper, we develop sensor selection strategies for 3D wireless…
Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning
Junghoon Kim, Taejoon Kim, David Love +1
The design of codes for feedback-enabled communications has been a long-standing open problem. Recent research on non-linear, deep learning-based coding schemes have demonstrated s…