7 papers
Cooperative Bandit Learning in Directed Networks with Arm-Access Constraints
Evagoras Makridis, Themistoklis Charalambous
Sequential decision-making under uncertainty often involves multiple agents learning which actions (arms) yield the highest rewards through repeated interaction with a stochastic e…
Average Consensus with Dynamic Quantization Framing and Finite-Time Termination over Limited-Bandwidth Directed Networks
Evagoras Makridis, Gabriele Oliva, Apostolos I. Rikos +1
This paper proposes a deterministic distributed algorithm, referred to as PP-ACDC, that achieves exact average consensus over possibly unbalanced directed graphs using only a fixed…
Multi-cluster distributed optimization in open multi-agent systems over directed graphs with acknowledgement messages
Evagoras Makridis, Gabriele Oliva, Themistoklis Charalambous
In this paper, we tackle the problem of distributed optimization over directed networks in open multi-agent systems (OMAS), where agents may dynamically join or leave, causing pers…
Average Consensus with Dynamic Compression in Bandwidth-Limited Directed Networks
Evagoras Makridis, Gabriele Oliva, Apostolos I. Rikos +1
In this paper, the average consensus problem has been considered for directed unbalanced networks under finite bit-rate communication. We propose the Push-Pull Average Consensus al…
Remote Estimation over Packet-Dropping Wireless Channels with Partial State Information
Ioannis Tzortzis, Evagoras Makridis, Charalambos D. Charalambous +1
In this paper, we study the design of an optimal transmission policy for remote state estimation over packet-dropping wireless channels with imperfect channel state information. A…
Distributed Optimization with Gradient Tracking over Heterogeneous Delay-Prone Directed Networks
Evagoras Makridis, Gabriele Oliva, Kasagatta Ramesh Narahari +3
In this paper, we address the distributed optimization problem over unidirectional networks with possibly time-invariant heterogeneous bounded transmission delays. In particular, w…