Mert Kayaalp

Mert Kayaalp

Ph.D. Candidate at EPFL

Publications

[Google Scholar]

PUBLICATION LIST (last update: October 2024)

PRE-PRINTS

  1. Mert Kayaalp, Yunus Inan, Visa Koivunen, and Ali H. Sayed, “Causal influence in federated edge inference”, arXiv:2405.01260
  2. Mert Kayaalp and Ali H. Sayed, “Causal influences over social learning networks”, arXiv:2307.09575
  3. Ping Hu, Virginia Bordignon, Mert Kayaalp, and Ali H. Sayed, “Non-asymptotic performance of social machine learning under limited data”, arXiv:2306.09397

JOURNAL

  1. Valentina Shumovskaia, Mert Kayaalp, and Ali H. Sayed, “Detection of malicious agents in social learning”, IEEE Signal Processing Letters, vol. 31, pp. 1745-1749, July 2024, [arXiv] [IEEE]
  2. Valentina Shumovskaia, Mert Kayaalp, and Ali H. Sayed, “Social learning in community structured graphs”, IEEE Transactions on Signal Processing, vol. 72, pp. 2812-2826, May 2024, [arXiv] [IEEE]
  3. Mert Kayaalp, Yunus Inan, Emre Telatar, and Ali H. Sayed, “On the arithmetic and geometric fusion of beliefs for distributed inference”, IEEE Transactions on Automatic Control, vol. 69, no. 4, pp. 2265-2280, April 2024, [arXiv] [IEEE]
  4. Mert Kayaalp, Virginia Bordignon, and Ali H. Sayed, “Social opinion formation and decision making under communication trends”, IEEE Transactions on Signal Processing, vol. 72, pp. 506-520, January 2024, [arXiv] [IEEE]
  5. Mert Kayaalp, Fatima Ghadieh, and Ali H. Sayed, “Policy evaluation in decentralized POMDPs with belief sharing”, IEEE Open Journal of Control Systems, vol. 2, pp. 125-145, June 2023, [IEEE Open]
  6. Valentina Shumovskaia, Mert Kayaalp, Mert Cemri, and Ali H. Sayed, “Discovering influencers in opinion formation over social graphs”, IEEE Open Journal of Signal Processing, vol. 4, pp. 188-207, March 2023, [IEEE Open]
  7. Mert Kayaalp, Stefan Vlaski, and Ali H. Sayed, “Dif-MAML: Decentralized multi-agent meta-learning”, IEEE Open Journal of Signal Processing, vol. 3, pp. 71-93, January 2022, [IEEE Open]

CONFERENCE

  1. Mert Kayaalp, Yunus Inan, Visa Koivunen, and Ali H. Sayed, “Causal impact analysis for asynchronous decision making”, IEEE Int. Symp. Information Theory (ISIT), Athens, Greece, July 2024, [Extended version][IEEE]
  2. Valentina Shumovskaia, Mert Kayaalp, and Ali H. Sayed, “Distributed decision-making for community structured networks”, IEEE ICASSP, Seoul, Korea, April 2024, [Extended version][IEEE]
  3. Virginia Bordignon, Mert Kayaalp, Vincenzo Matta, and Ali H. Sayed, “Social learning with non-Bayesian local updates”, EUSIPCO, Helsinki, Finland, September 2023, [IEEE]
  4. Mert Kayaalp, Yunus Inan, Visa Koivunen, Emre Telatar, and Ali H. Sayed, “On the fusion strategies for federated decision making”, IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, July 2023, (award-winning article), [Extended version] [IEEE]
  5. Valentina Shumovskaia, Mert Kayaalp, and Ali H. Sayed, “Identifying opinion influencers over social networks”, IEEE ICASSP, Rhodes Island, Greece, June 2023, [Extended version] [IEEE]
  6. Ping Hu, Virginia Bordignon, Mert Kayaalp, and Ali H. Sayed, “Performance of social machine learning under limited data”, IEEE ICASSP, Rhodes Island, Greece, June 2023, [Extended version] [IEEE]
  7. Mert Cemri, Virginia Bordignon, Mert Kayaalp, Valentina Shumovskaia, and Ali H. Sayed, “Asynchronous social learning”, IEEE ICASSP, Rhodes Island, Greece, June 2023, [IEEE]
  8. Yunus Inan, Mert Kayaalp, Emre Telatar, and Ali H. Sayed, “Social learning under randomized collaborations”, IEEE Int. Symp. Information Theory (ISIT), Helsinki, Finland, June 2022, [arXiv] [IEEE]
  9. Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, and Ali H. Sayed, “Hidden Markov modeling over graphs”, IEEE Data Science and Learning Workshop (DSLW), Singapore, May 2022, [Extended version] [IEEE]
  10. Yunus Inan, Mert Kayaalp, Ali H. Sayed, and Emre Telatar, “A fundamental limit of distributed hypothesis testing under memoryless quantization”, IEEE ICC, Seoul, South Korea, May 2022, [Extended version] [IEEE]
  11. Mert Kayaalp, Stefan Vlaski, and Ali H. Sayed, “Distributed meta-learning with networked agents”, EUSIPCO, Dublin, Ireland, August 2021, [Extended version] [IEEE]