5 papers
Bringing Network Coding into Multi-Robot Systems: Interplay Study for Autonomous Systems over Wireless Communications
Anil Zaher, Kiril Solovey, Alejandro Cohen
Communication is a core enabler for multi-robot systems (MRS), providing the mechanism through which robots exchange state information, coordinate actions, and satisfy safety const…
Revisiting the Interface between Error and Erasure Correction in Wireless Standards
Vipindev Adat Vasudevan, Homa Esfahanizadeh, Benjamin D. Kim +3
Modern 5G communication systems implement a combination of error correction and feedback-based erasure correction (HARQ/ARQ) as reliability mechanisms, which can introduce substant…
Variable Min-Cut Max-Flow Bounds and Algorithms in Finite Regime
Rivka Gitik, Alejandro Cohen
The maximum achievable capacity from source to destination in a network is limited by the min-cut max-flow bound; this serves as a converse limit. In practice, link capacities ofte…
Adaptive Deadline and Batch Layered Synchronized Federated Learning
Asaf Goren, Natalie Lang, Nir Shlezinger +1
Federated learning (FL) enables collaborative model training across distributed edge devices while preserving data privacy, and typically operates in a round-based synchronous mann…
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates
Natalie Lang, Alejandro Cohen, Nir Shlezinger
Synchronous federated learning (FL) is a popular paradigm for collaborative edge learning. It typically involves a set of heterogeneous devices locally training neural network (NN)…