F. Dou, L. Wang, S. Chen, and F. Liu, “X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics,” presented at the IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada.
LibreCat: /record/50066

M. Blöcher, N. Nedderhut, P. Chuprikov, R. Khalili, P. Eugster, and L. Wang, “Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES,” presented at the IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada.
LibreCat: /record/50065

H. Hu, F. Liu, Q. Pei, Y. Yuan, Z. Xu, and L. Wang, “706Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing,” presented at the ACM Web Conference (WWW), Singapore, 2024.
LibreCat: /record/50807

K. Razavi, S. Ghafouri, M. Mühlhäuser, P. Jamshidi, and L. Wang, “Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling,” presented at the The 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024, Athens, Greece, 2024.
LibreCat: /record/53095

S. Ghafouri et al., “IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency,” Journal of Systems Research (JSys).
LibreCat: /record/53531

S. B. Schneider, Network and Service Coordination: Conventional and Machine Learning Approaches". 2022.
LibreCat: /record/29672
DOI: 10.17619/UNIPB/1-1276 

S. B. Schneider, S. Werner, R. Khalili, A. Hecker, and H. Karl, “mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks,” presented at the IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest, 2022.
LibreCat: /record/30236

A. Redder, A. Ramaswamy, and H. Karl, “Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law,” presented at the 58th Allerton Conference on Communication, Control, and Computing, 2022.
LibreCat: /record/32811

A. Redder, A. Ramaswamy, and H. Karl, “Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication,”10.5220/0010845400003116__2022, doi:10.5220/0010845400003116 .
LibreCat: /record/30793
DOI: 10.5220/0010845400003116

A. Redder, A. Ramaswamy, and H. Karl, “Distributed gradient-based optimization in the presence of dependent  aperiodic communication,” arXiv:2201.11343. 2022.
LibreCat: /record/30790
arXiv: 2201.11343

A. Redder, A. Ramaswamy, and H. Karl, “Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms,” arXiv:2201.00570. 2022.
LibreCat: /record/30791
arXiv: 2201.00570

A. Redder, A. Ramaswamy, and H. Karl, “Practical Network Conditions for the Convergence of Distributed Optimization,” IFAC-PapersOnLine, vol. 55, no. 13, pp. 133–138, 2022.
LibreCat: /record/32854

S. Werner, S. B. Schneider, and H. Karl, “Use What You Know: Network and Service Coordination Beyond Certainty,” presented at the IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest, 2022.
LibreCat: /record/29220

A. Hasnain and H. Karl, “Learning Flow Scheduling,” in 2021 IEEE 18th Annual Consumer Communications &; Networking Conference (CCNC), Las Vegas, USA.
LibreCat: /record/20125
DOI: https://doi.org/10.1109/CCNC49032.2021.9369514

A. Hasnain, Automating Network Resource Allocation for Coflows with Deadlines. 2021.
LibreCat: /record/27503
DOI: 10.17619/UNIPB/1-1241 

A. Hasnain and H. Karl, “Learning Coflow Admissions,” in IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver BC Canada.
LibreCat: /record/21005
DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484599

S. B. Schneider, H. Qarawlus, and H. Karl, “Distributed Online Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Distributed Computing Systems (ICDCS), Washington, DC, USA, 2021.
LibreCat: /record/21543

S. B. Schneider, M. Jürgens, and H. Karl, “Divide and Conquer: Hierarchical Network and Service Coordination,” in IFIP/IEEE International Symposium on Integrated Network Management (IM), Bordeaux, France, 2021.
LibreCat: /record/20693

S. B. Schneider et al., “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning,” Transactions on Network and Service Management, 2021.
LibreCat: /record/21808
DOI: 10.1109/TNSM.2021.3076503

S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.
LibreCat: /record/33854