works on

From the 2 of 51 linked papers with an AI index.

activity
20242026
most citedResilient by Design -- Active Inference for Distributed Continuum Intelligence

1 citations · 1 across the 13 of their papers we have counts for

collaborators

51 papers

math.FA2026

Pego theorem for Hilbert space-valued functions on compact groups

Anaté Kodjovi Lakmon, Yaogan Mensah

We prove a Hilbert space-valued analogue of Pego's compactness theorem on compact groups. For square-integrable functions taking values in a Hilbert space rather than in the comple…

cs.NI2026

LYRA: Label-Free Structural Synchronization and Resource Allocation for UAV Edge Networks

Feng He, Alireza Furutanpey, Paolo Bellavista +4

While deploying hierarchical vision models to process mission-critical tasks, UAV edge systems must adaptively update the models to sustain inference reliability under low-level en…

cs.NI2026

Clear-Weighted Bit Allocation for Satellite Downlinks

Alireza Furutanpey, Qiyang Zhang, Yujie Huang +2

Earth-observation satellites capture more imagery than intermittent ground contacts can transmit. Onboard systems threshold a cloud detector, discard frames or tiles, and compress…

cs.DC2026

A Taxonomy of Performance Metrics for the Distributed Computing Continuum

Praveen Kumar Donta, Boris Sedlak, Alfreds Lapkovskis +6

The paper proposes a structured taxonomy of performance metrics for distributed computing continuum systems, categorizing metrics across computing, network, and application levels…

cs.DC2026

LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters

Reza Farahani, Zoha Azimi, Mario Colosi +1

Large language model (LLM) services increasingly operate on edge infrastructure, enabling low-latency and privacy-preserving AI services. However, efficiently serving LLM requests…

cs.LG2026

Principled Direction-Free Intrinsic Motivation through Model-Free Epistemic Free-Energy Estimators

Alireza Furutanpey, Schahram Dustdar

Across environments with mixed sources of uncertainty, unsupervised reinforcement learning requires intrinsic motivation that does not precommit to a particular direction of surpri…