- Mahdi Morafah, Hojin Chang, Chen Chen 0001, Bill Lin 0001. Federated Learning Client Pruning for Noisy Labels. TOMPECS, 10(2), June 2025.
- Boris Radovic, Marco Canini, Veljko Pejovic. Review and Comparative Evaluation of Resource-Adaptive Collaborative Training for Heterogeneous Edge Devices. TOMPECS, 10(1), March 2025.
- Tianyue Chu, Mengwei Yang, Nikolaos Laoutaris, Athina Markopoulou. PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning. TOMPECS, 10(2), June 2025.
- Maria Hartmann, Grégoire Danoy, Pascal Bouvry. FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences. TOMPECS, 10(2), June 2025.
- Carlee Joe-Wong, Lili Su. Introduction to the Special Issue on Performance Evaluation of Federated Learning Systems Part 1. TOMPECS, 10(1), March 2025.
- Zahidur Talukder, Bingqian Lu, Shaolei Ren, Mohammad Atiqul Islam. Hardware-Sensitive Fairness in Heterogeneous Federated Learning. TOMPECS, 10(1), March 2025.
- Carlee Joe-Wong, Lili Su. Introduction to the Special Issue on Performance Evaluation of Federated Learning Systems Part 2. TOMPECS, 10(2), June 2025.
- Thomas Sandholm, Sayandev Mukherjee, Bernardo A. Huberman. SAFE: Secure Aggregation with Failover and Encryption. TOMPECS, 10(1), March 2025.
- Xiangyu Ma, Wei Shi 0001, Junfeng Wen. An Enhanced Combinatorial Contextual Neural Bandit Approach for Client Selection in Federated Learning. TOMPECS, 10(2), June 2025.
- Maryam Ben Driss, Essaid Sabir, Halima Elbiaze, Abdoulaye Baniré Diallo, Mohamed Sadik. A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach. TOMPECS, 10(1), March 2025.