5 citations · 7 across the 6 of their papers we have counts for
6 papers
Autonomous Collaborative Learning Among an Ensemble of Tsetlin Machines with Consensus-Based Inference
Yehuda Rudin, Osnat Keren, Michal Yemini +1
Tsetlin Machine (TM) is a rule-based machine-learning algorithm comprising collectives of two-action Tsetlin Automata (TAs) that cooperatively form conjunctive logical clauses from…
Asynchronous and Stochastic Distributed Resource Allocation
Qiang Li, Michal Yemini, Hoi-To Wai
This work proposes and studies the distributed resource allocation problem in asynchronous and stochastic settings. We consider a distributed system with multiple workers and a coo…
Confidence Boosts Trust-Based Resilience in Cooperative Multi-Robot Systems
Luca Ballotta, Áron Vékássy, Stephanie Gil +1
Wireless communication-based multi-robot systems open the door to cyberattacks that can disrupt safety and performance of collaborative robots. The physical channel supporting inte…
Friedkin-Johnsen Model with Diminishing Competition
Luca Ballotta, Áron Vékássy, Stephanie Gil +1
This letter studies the Friedkin-Johnsen (FJ) model with diminishing competition, or stubbornness. The original FJ model assumes that each agent assigns a constant competition weig…
The Role of Confidence for Trust-based Resilient Consensus (Extended Version)
Luca Ballotta, Michal Yemini
We consider a multi-agent system where agents aim to achieve a consensus despite interactions with malicious agents that communicate misleading information. Physical channels suppo…
Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Clipping Bias and Remedies
Qiang Li, Michal Yemini, Hoi-To Wai
This paper studies the convergence of clipped stochastic gradient descent (SGD) algorithms with decision-dependent data distribution. Our setting is motivated by privacy preserving…