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Anna Lackinger

4 papers hereh-index 438 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DC2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.LG2025

BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services

Anna Lackinger, Andrea Morichetta, Pantelis A. Frangoudis +1

Federated Learning (FL) is a promising machine learning solution in large-scale IoT systems, guaranteeing load distribution and privacy. However, FL does not natively consider infr…

cs.DC2025

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget

Ivan Čilić, Anna Lackinger, Pantelis Frangoudis +4

Deploying a Hierarchical Federated Learning (HFL) pipeline across the computing continuum (CC) requires careful organization of participants into a hierarchical structure with inte…

cs.LG2025

Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning

Anastasiya Danilenka, Alireza Furutanpey, Victor Casamayor Pujol +5

Handling heterogeneity and unpredictability are two core problems in pervasive computing. The challenge is to seamlessly integrate devices with varying computational resources in a…

cs.DC2024

RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms

Filip Loisel, Geri Zeqo, Andrea Morichetta +2

The increasing volume and complexity of IoT systems demand a transition from the cloud-centric model to a decentralized IoT architecture in the so-called Computing Continuum, with…

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