Delay Tolerant Networks are used in Wireless Sensor Networks based IoT Platforms. Though we adopt federated learning scenario for ensuring security, we can think of adding additional layer of security in which oblique platforms are considered. Byzantine-Resilient aggregation ensures that a few malicious client nodes cannot corrupt the global learning process

In edge computing scenarios with IoT devices, DTN can ensure that model updates are eventually delivered even if devices temporarily lose connectivity. In remote or rural areas with sporadic internet access, DTN can help OFL by ensuring data and model updates are stored and forwarded when possible, maintaining the integrity and progress of the learning process. Integration Of DTN and OFL for better performance can be done by incorporating Mult- Krum algorithm and thereby the chances of loosing useful information from other honest clients are ruled out.

1.Kevin Fall, Intel Research, Berkely “A delay Tolerant Network Architecture for Challenged Internets”, SIGCOMM’03, August 25-29,2003, Karlsruhe, Germany 2.Kevin Fall, Intel Research Berkeley, Rabin Patra, University of California, Berkely Sushant Jain University of Washington, “Routing in a Delay Tolerant Network”, Sigcomm’04, Aug-30-Sept3,2004 Portland, Oregon, USA 3.Tamer Abdelkader, Kshirasagar Naik, Amiya Nayik, Nishith Goel and Vineet Srivastava “A performance comparison of DTN routing protocols” 4.Stephen Farrel,Vinny Cahill ,’Chapter 3 Application Requirements for DTN’ in the book ‘Delay and Disruption-Tolerant Networking’, Artech House, London 5.Stephen Farrel, Vinny Cahill ,’Chapter 4 Bundle Protocol’ in the book ‘Delay and Disruption-Tolerant Networking’,Artech House, London 6.“Data Fusion and Processing in Wireless Multimedia Sensor Networks: An Analysis for Surveillance Applications.” 2014 IEEE 22nd Signal Processing and Communications Applications Conference (SIU 2014). 7.Athanasios V. Vasilakos, Yan Zhang, and Thrasyvoulos Spyropoulos,”Delay Tolerant Networks” 8.Aloizio Pereira da Silva, Scott Burleigh, and Katia Obraczka.”Delay and Disruption Tolerant Networks : Interplanetary and Earth-Bound – Architecture, Protocols, and Applications” 9.Qiang Yang, Yang Liu, Tianjian Chen, and Yongxin Tong “Federated Learning” 10.Padhye, V. Firoiu, and D. Towsley, “A stochastic model of TCP Reno congestion avoidance and control,” Univ. of Massachusetts, Amherst, MA, CMPSCI Tech. Rep. 99-02, 1999.

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