About me  Publications

Working Papers

• "A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning",
  Lj. Rokvic, P. Danassis, B. Faltings
  [ Arxiv ]

Journal Papers

2022

• "Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation",
  P. Danassis, M. Sakota, A. Filos-Ratsikas, B. Faltings,
  Artificial Intelligence Review, Springer [ Paper | Arxiv ]

• "Exploiting Environmental Signals to Enable Policy Correlation in Large-scale Decentralized Systems",
  P. Danassis, Z. D. Erden, B. Faltings,
  Journal of Autonomous Agents and Multi-agent Systems, Springer [ Paper ]

Conference Papers

2023

• "AI-driven Prices for Externalities and Sustainability in Production Markets",
  P. Danassis, A. Filos-Ratsikas, H. Chen, M. Tambe, B. Faltings
  AAMAS 2023: Proceedings of the 22nd International Conference on Autonomous Agents and MultiAgent Systems [ Arxiv | Code ]

2022

• "A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings",
  P. Danassis, A. Triastcyn, B. Faltings,
  AAMAS 2022: Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems [ Paper | Video | Arxiv ]

2021

• "Improving Multi-agent Coordination by Learning to Estimate Contention",
  P. Danassis, F. Wiedemair, B. Faltings,
  IJCAI 2021: Proceedings of the 30th International Joint Conference on Artificial Intelligence [ Paper | Arxiv ]

• "Improved Cooperation by Exploiting a Common Signal",
  P. Danassis, Z. D. Erden, B. Faltings,
  AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems [ Paper | Video | Arxiv | Code ]

2020

• "Efficient Allocations in Constant Time: Towards Scalable Solutions in the Era of Large Scale Intelligent Systems",
  P. Danassis, B. Faltings,
  ECAI 2020: Proceedings of the 24th European Conference on Artificial Intelligence, 2-page Highlight Paper [ Paper | Poster ]

2019

• "Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior",
  P. Danassis, A. Filos-Ratsikas, B. Faltings,
  IJCAI 2019: Proceedings of the 28th International Joint Conference on Artificial Intelligence [ Paper | Arxiv | Poster ]

• "Courtesy as a Means to Coordinate",
  P. Danassis, B. Faltings,
  AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems [ Paper | Arxiv | Poster ]

Publications Prior to my Doctoral Studies

2017

• "Supporting Decision Making for Large-Scale IoTs: Trading Accuracy with Computational Complexity",
  K. Siozios, P. Danassis, N. Zompakis, C. Korkas, E. Kosmatopoulos and D. Soudris,
  Components and Services for IoT Platforms: Paving the Way for IoT Standards, Springer (invited book chapter) [ Pdf | Doi ]

• "A Low-Complexity Control Mechanism Targeting Smart Thermostats",
  P. Danassis, K. Siozios, C. Korkas, D. Soudris, E. Kosmatopoulos,
  Energy and Buildings, Elsevier [ Pdf | Doi ]

2016

• "ANT3D: Simultaneous Partitioning and Placement for 3-D FPGAs based on Ant Colony Optimization",
  P. Danassis, K. Siozios, D. Soudris,
  IEEE Embedded Systems Letters, IEEE [ Pdf | Doi ]

• "Parallel Application Placement onto 3-D Reconfigurable Architectures",
  P. Danassis, K. Siozios, D. Soudris,
  International Conference on Modern Circuits and Systems Technologies (MOCAST), IEEE sponsored [ Pdf | Doi ]

Ph.D. Thesis

• 2022, P. Danassis, "Scalable Multi-agent Coordination and Resource Sharing" [ Pdf ]

Diploma Thesis

• 2015, P. Danassis, "A Novel 3-D FPGA Placement Algorithm based on Ant Colony Optimization" [ English | Greek ]

Peer-Reviewed Workshops and Symposia

• 2023, "AI-driven Prices for Externalities and Sustainability in Production Markets", P. Danassis, A. Filos-Ratsikas, H. Chen, M. Tambe, B. Faltings, AASG 2023: 4th International Workshop on Autonomous Agents for Social Good [ Paper ]
• 2022, "Privacy-preserving Data Filtering in Federated Learning Using Influence Approximation", Lj. Rokvic, P. Danassis, B. Faltings, FL-NeurIPS'22: International Workshop on Federated Learning: Recent Advances and New Challenges at NeurIPS 2022 [ Paper ]
• 2022, "Privacy-preserving Data Filtering in Federated Learning Using Influence Approximation", Lj. Rokvic, P. Danassis, B. Faltings, FL-IJCAI'22: International Workshop on Trustworthy Federated Learning at IJCAI 2022 [ Paper ]
• 2021, "Differential Privacy Meets Maximum-weight Matching", P. Danassis, A. Triastcyn, B. Faltings, ALA 2021: Adaptive Learning Agents Workshop at AAMAS [ Paper ]
• 2021, "Differential Privacy Meets Maximum-weight Matching", P. Danassis, A. Triastcyn, B. Faltings, AASG 2021: Autonomous Agents for Social Good Workshop at AAMAS [ Paper ]
• 2021, "Improved Cooperation by Exploiting a Common Signal", P. Danassis, Z. D. Erden, B. Faltings, AASG 2021: Autonomous Agents for Social Good Workshop at AAMAS [ Paper ]
• 2021, "Differential Privacy Meets Maximum-weight Matching", P. Danassis, A. Triastcyn, B. Faltings, PPAI 2021: The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence [ Paper ]
• 2020, "Learning to Persist or Switch: Efficient and Fair Allocations in Large-scale Multi-agent Systems", P. Danassis, B. Faltings, ALA 2020: Adaptive Learning Agents Workshop at AAMAS [ Paper ]
• 2019, "Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior", P. Danassis, A. Filos-Ratsikas, B. Faltings, ALA 2019: Adaptive Learning Agents Workshop at AAMAS [ Paper ]
• 2018, "Courtesy as a Means to Anti-coordinate", P. Danassis, B. Faltings, ALA 2018: Adaptive Learning Agents Workshop at AAMAS [ Paper ]
• 2018, "Learning in Ad-hoc Anti-coordination Scenarios", P. Danassis, B. Faltings, AAAI Spring Symposium Series [ Paper ]