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Sadi Alawadi

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#federated learning Open access Dec 2026

P2PFL: A modular framework for Decentralized Federated Learning

Decentralized Federated Learning (DFL) offers a promising paradigm for collaborative machine learning training without centralized coordination, addressing critical limitations of centralized federated learning such as single points of failure, communication bottlenecks, and scalability constraints. However, the adopti...

Pedro Guijas Bravo, Sadi Alawadi, D. Cebrián et al. · 0 citations
Open access Aug 2026

EA-AQF: energy aware adaptive quantization and freezing in federated learning

Energy-Aware Adaptive Quantization and Freezing (EA-AQF), a unified framework that co-optimizes communication and computation, is presented, a unified framework that co-optimizes communication and computation and maintains robust convergence in highly heterogeneous tasks.

Farwa Ikram, Sadi Alawadi, Dipanwita Thakur et al. · 0 citations

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