activity
20052025
most citedFederated Learning with Bayesian Differential Privacy

205 citations · 861 across the 59 of their papers we have counts for

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Showing cs.MAShow all

7 papers · 1 filter

cs.MA2021

Improving Multi-agent Coordination by Learning to Estimate Contention

Panayiotis Danassis, Florian Wiedemair, Boi Faltings

We present a multi-agent learning algorithm, ALMA-Learning, for efficient and fair allocations in large-scale systems. We circumvent the traditional pitfalls of multi-agent learnin…

cs.MA2021★ 1 cited

AI-driven Prices for Externalities and Sustainability in Production Markets

Panayiotis Danassis, Aris Filos-Ratsikas, Haipeng Chen +2

Traditional competitive markets do not account for negative externalities; indirect costs that some participants impose on others, such as the cost of over-appropriating a common-p…

cs.MA2021

Improved Cooperation by Exploiting a Common Signal

Panayiotis Danassis, Zeki Doruk Erden, Boi Faltings

Can artificial agents benefit from human conventions? Human societies manage to successfully self-organize and resolve the tragedy of the commons in common-pool resources, in spite…

cs.MA2020★ 2 cited

A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings

Panayiotis Danassis, Aleksei Triastcyn, Boi Faltings

We introduce a practical and scalable algorithm (PALMA) for solving one of the fundamental problems of multi-agent systems -- finding matches and allocations -- in unboundedly larg…

cs.MA2019★ 2 cited

Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation

Panayiotis Danassis, Marija Sakota, Aris Filos-Ratsikas +1

We study the optimization of large-scale, real-time ridesharing systems and propose a modular design methodology, Component Algorithms for Ridesharing (CAR). We evaluate a diverse…

cs.MA2019★ 5 cited

Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior

Panayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings

We present a novel anytime heuristic (ALMA), inspired by the human principle of altruism, for solving the assignment problem. ALMA is decentralized, completely uncoupled, and requi…